sirui6011 commited on
Commit
f092ec2
·
verified ·
1 Parent(s): a6aa975

Add codi_recon_delta_1.5b_ls2_rw0.03 checkpoints

Browse files
This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. .gitattributes +6 -0
  2. checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1200/added_tokens.json +35 -0
  3. checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1200/chat_template.jinja +54 -0
  4. checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1200/config.json +58 -0
  5. checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1200/merges.txt +0 -0
  6. checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1200/optimizer.pt +3 -0
  7. checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1200/pytorch_model.bin +3 -0
  8. checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1200/rng_state_0.pth +3 -0
  9. checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1200/rng_state_1.pth +3 -0
  10. checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1200/rng_state_2.pth +3 -0
  11. checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1200/rng_state_3.pth +3 -0
  12. checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1200/scheduler.pt +3 -0
  13. checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1200/special_tokens_map.json +31 -0
  14. checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1200/thought_projector.pt +3 -0
  15. checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1200/tokenizer.json +3 -0
  16. checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1200/tokenizer_config.json +295 -0
  17. checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1200/trainer_state.json +2914 -0
  18. checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1200/training_args.bin +3 -0
  19. checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1200/vocab.json +0 -0
  20. checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1500/added_tokens.json +35 -0
  21. checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1500/chat_template.jinja +54 -0
  22. checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1500/config.json +58 -0
  23. checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1500/merges.txt +0 -0
  24. checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1500/optimizer.pt +3 -0
  25. checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1500/pytorch_model.bin +3 -0
  26. checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1500/rng_state_0.pth +3 -0
  27. checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1500/rng_state_1.pth +3 -0
  28. checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1500/rng_state_2.pth +3 -0
  29. checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1500/rng_state_3.pth +3 -0
  30. checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1500/scheduler.pt +3 -0
  31. checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1500/special_tokens_map.json +31 -0
  32. checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1500/thought_projector.pt +3 -0
  33. checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1500/tokenizer.json +3 -0
  34. checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1500/tokenizer_config.json +295 -0
  35. checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1500/trainer_state.json +0 -0
  36. checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1500/training_args.bin +3 -0
  37. checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1500/vocab.json +0 -0
  38. checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-300/added_tokens.json +35 -0
  39. checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-300/chat_template.jinja +54 -0
  40. checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-300/config.json +58 -0
  41. checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-300/merges.txt +0 -0
  42. checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-300/optimizer.pt +3 -0
  43. checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-300/pytorch_model.bin +3 -0
  44. checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-300/rng_state_0.pth +3 -0
  45. checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-300/rng_state_1.pth +3 -0
  46. checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-300/rng_state_2.pth +3 -0
  47. checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-300/rng_state_3.pth +3 -0
  48. checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-300/scheduler.pt +3 -0
  49. checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-300/special_tokens_map.json +31 -0
  50. checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-300/thought_projector.pt +3 -0
.gitattributes CHANGED
@@ -156,3 +156,9 @@ checkpoints/codi_recon_full_1.5b_ls2_rw0.1/checkpoint-300/tokenizer.json filter=
156
  checkpoints/codi_recon_full_1.5b_ls2_rw0.1/checkpoint-600/tokenizer.json filter=lfs diff=lfs merge=lfs -text
157
  checkpoints/codi_recon_full_1.5b_ls2_rw0.1/checkpoint-900/tokenizer.json filter=lfs diff=lfs merge=lfs -text
158
  checkpoints/codi_recon_full_1.5b_ls2_rw0.1/wandb/offline-run-20260627_222021-7dbxalnj/run-7dbxalnj.wandb filter=lfs diff=lfs merge=lfs -text
 
 
 
 
 
 
 
156
  checkpoints/codi_recon_full_1.5b_ls2_rw0.1/checkpoint-600/tokenizer.json filter=lfs diff=lfs merge=lfs -text
157
  checkpoints/codi_recon_full_1.5b_ls2_rw0.1/checkpoint-900/tokenizer.json filter=lfs diff=lfs merge=lfs -text
158
  checkpoints/codi_recon_full_1.5b_ls2_rw0.1/wandb/offline-run-20260627_222021-7dbxalnj/run-7dbxalnj.wandb filter=lfs diff=lfs merge=lfs -text
159
+ checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1200/tokenizer.json filter=lfs diff=lfs merge=lfs -text
160
+ checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1500/tokenizer.json filter=lfs diff=lfs merge=lfs -text
161
+ checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-300/tokenizer.json filter=lfs diff=lfs merge=lfs -text
162
+ checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-600/tokenizer.json filter=lfs diff=lfs merge=lfs -text
163
+ checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-900/tokenizer.json filter=lfs diff=lfs merge=lfs -text
164
+ checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/wandb/offline-run-20260702_042011-gs3t81f2/run-gs3t81f2.wandb filter=lfs diff=lfs merge=lfs -text
checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1200/added_tokens.json ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</tool_call>": 151658,
3
+ "<tool_call>": 151657,
4
+ "<|action_sep|>": 151670,
5
+ "<|arg_sep|>": 151671,
6
+ "<|box_end|>": 151649,
7
+ "<|box_start|>": 151648,
8
+ "<|call_sep|>": 151666,
9
+ "<|end_of_text|>": 151673,
10
+ "<|endoftext|>": 151643,
11
+ "<|exception_sep|>": 151669,
12
+ "<|file_sep|>": 151664,
13
+ "<|fim_middle|>": 151660,
14
+ "<|fim_pad|>": 151662,
15
+ "<|fim_prefix|>": 151659,
16
+ "<|fim_suffix|>": 151661,
17
+ "<|frame_sep|>": 151672,
18
+ "<|im_end|>": 151645,
19
+ "<|im_start|>": 151644,
20
+ "<|image_pad|>": 151655,
21
+ "<|latent_end|>": 151675,
22
+ "<|latent_start|>": 151674,
23
+ "<|line_sep|>": 151667,
24
+ "<|object_ref_end|>": 151647,
25
+ "<|object_ref_start|>": 151646,
26
+ "<|quad_end|>": 151651,
27
+ "<|quad_start|>": 151650,
28
+ "<|repo_name|>": 151663,
29
+ "<|return_sep|>": 151668,
30
+ "<|trace_context_start|>": 151665,
31
+ "<|video_pad|>": 151656,
32
+ "<|vision_end|>": 151653,
33
+ "<|vision_pad|>": 151654,
34
+ "<|vision_start|>": 151652
35
+ }
checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1200/chat_template.jinja ADDED
@@ -0,0 +1,54 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {%- if tools %}
2
+ {{- '<|im_start|>system\n' }}
3
+ {%- if messages[0]['role'] == 'system' %}
4
+ {{- messages[0]['content'] }}
5
+ {%- else %}
6
+ {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
7
+ {%- endif %}
8
+ {{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
9
+ {%- for tool in tools %}
10
+ {{- "\n" }}
11
+ {{- tool | tojson }}
12
+ {%- endfor %}
13
+ {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
14
+ {%- else %}
15
+ {%- if messages[0]['role'] == 'system' %}
16
+ {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
17
+ {%- else %}
18
+ {{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
19
+ {%- endif %}
20
+ {%- endif %}
21
+ {%- for message in messages %}
22
+ {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
23
+ {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
24
+ {%- elif message.role == "assistant" %}
25
+ {{- '<|im_start|>' + message.role }}
26
+ {%- if message.content %}
27
+ {{- '\n' + message.content }}
28
+ {%- endif %}
29
+ {%- for tool_call in message.tool_calls %}
30
+ {%- if tool_call.function is defined %}
31
+ {%- set tool_call = tool_call.function %}
32
+ {%- endif %}
33
+ {{- '\n<tool_call>\n{"name": "' }}
34
+ {{- tool_call.name }}
35
+ {{- '", "arguments": ' }}
36
+ {{- tool_call.arguments | tojson }}
37
+ {{- '}\n</tool_call>' }}
38
+ {%- endfor %}
39
+ {{- '<|im_end|>\n' }}
40
+ {%- elif message.role == "tool" %}
41
+ {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
42
+ {{- '<|im_start|>user' }}
43
+ {%- endif %}
44
+ {{- '\n<tool_response>\n' }}
45
+ {{- message.content }}
46
+ {{- '\n</tool_response>' }}
47
+ {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
48
+ {{- '<|im_end|>\n' }}
49
+ {%- endif %}
50
+ {%- endif %}
51
+ {%- endfor %}
52
+ {%- if add_generation_prompt %}
53
+ {{- '<|im_start|>assistant\n' }}
54
+ {%- endif %}
checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1200/config.json ADDED
@@ -0,0 +1,58 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Qwen2ForCausalLM"
4
+ ],
5
+ "attention_dropout": 0.0,
6
+ "bos_token_id": 151643,
7
+ "dtype": "bfloat16",
8
+ "eos_token_id": 151643,
9
+ "hidden_act": "silu",
10
+ "hidden_size": 1536,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 8960,
13
+ "layer_types": [
14
+ "full_attention",
15
+ "full_attention",
16
+ "full_attention",
17
+ "full_attention",
18
+ "full_attention",
19
+ "full_attention",
20
+ "full_attention",
21
+ "full_attention",
22
+ "full_attention",
23
+ "full_attention",
24
+ "full_attention",
25
+ "full_attention",
26
+ "full_attention",
27
+ "full_attention",
28
+ "full_attention",
29
+ "full_attention",
30
+ "full_attention",
31
+ "full_attention",
32
+ "full_attention",
33
+ "full_attention",
34
+ "full_attention",
35
+ "full_attention",
36
+ "full_attention",
37
+ "full_attention",
38
+ "full_attention",
39
+ "full_attention",
40
+ "full_attention",
41
+ "full_attention"
42
+ ],
43
+ "max_position_embeddings": 32768,
44
+ "max_window_layers": 28,
45
+ "model_type": "qwen2",
46
+ "num_attention_heads": 12,
47
+ "num_hidden_layers": 28,
48
+ "num_key_value_heads": 2,
49
+ "rms_norm_eps": 1e-06,
50
+ "rope_scaling": null,
51
+ "rope_theta": 1000000.0,
52
+ "sliding_window": null,
53
+ "tie_word_embeddings": true,
54
+ "transformers_version": "4.57.6",
55
+ "use_cache": true,
56
+ "use_sliding_window": false,
57
+ "vocab_size": 151936
58
+ }
checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1200/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1200/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f8a7de84d0e48b0644dfe0964440cf77eea2ea227e1e4f326328f31fb359f6ee
3
+ size 4539424633
checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1200/pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:eedb76566ba563e2b64ece55c65fa6d9d0dc3a88c5753cc2d35db2228467d2cb
3
+ size 3097074235
checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1200/rng_state_0.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d4aa03284661460f7588cf2ed51cae6f25c4941e23d7976dea3db0885dadb428
3
+ size 15429
checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1200/rng_state_1.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:97017e17d6838d8a09f84b48e28a5938a238a3e50e6a6671b6a2439f52a40fa6
3
+ size 15429
checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1200/rng_state_2.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f5a6d9e5e8614e5b7bcfddbab25b719e621f1ff67f400bc9a73dc5af42659928
3
+ size 15429
checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1200/rng_state_3.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:841e9f5079dd6c6b4131e29e2e887ebf784990e17a6d8d8c7131ffb11723d069
3
+ size 15429
checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1200/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5ca01a26e4215a06318d34f4837223ef5e3e71cfd78483b4d43840df556602f8
3
+ size 1465
checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1200/special_tokens_map.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>",
5
+ "<|object_ref_start|>",
6
+ "<|object_ref_end|>",
7
+ "<|box_start|>",
8
+ "<|box_end|>",
9
+ "<|quad_start|>",
10
+ "<|quad_end|>",
11
+ "<|vision_start|>",
12
+ "<|vision_end|>",
13
+ "<|vision_pad|>",
14
+ "<|image_pad|>",
15
+ "<|video_pad|>"
16
+ ],
17
+ "eos_token": {
18
+ "content": "<|endoftext|>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ },
24
+ "pad_token": {
25
+ "content": "<|endoftext|>",
26
+ "lstrip": false,
27
+ "normalized": false,
28
+ "rstrip": false,
29
+ "single_word": false
30
+ }
31
+ }
checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1200/thought_projector.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:13cd4f5618f4ea7df29116a4b2f266af065d08840299e335c9d3e1858533c190
3
+ size 9445953
checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1200/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:83a790d654474f5dfe225f889afd0210313eb1083f942671f2c4b8e95a1c922b
3
+ size 11424004
checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1200/tokenizer_config.json ADDED
@@ -0,0 +1,295 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "151643": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "151644": {
14
+ "content": "<|im_start|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "151645": {
22
+ "content": "<|im_end|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "151646": {
30
+ "content": "<|object_ref_start|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "151647": {
38
+ "content": "<|object_ref_end|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "151648": {
46
+ "content": "<|box_start|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "151649": {
54
+ "content": "<|box_end|>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "151650": {
62
+ "content": "<|quad_start|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "151651": {
70
+ "content": "<|quad_end|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "151652": {
78
+ "content": "<|vision_start|>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "151653": {
86
+ "content": "<|vision_end|>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "151654": {
94
+ "content": "<|vision_pad|>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "151655": {
102
+ "content": "<|image_pad|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
109
+ "151656": {
110
+ "content": "<|video_pad|>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
117
+ "151657": {
118
+ "content": "<tool_call>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "151658": {
126
+ "content": "</tool_call>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "151659": {
134
+ "content": "<|fim_prefix|>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "151660": {
142
+ "content": "<|fim_middle|>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "151661": {
150
+ "content": "<|fim_suffix|>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "151662": {
158
+ "content": "<|fim_pad|>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "151663": {
166
+ "content": "<|repo_name|>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "151664": {
174
+ "content": "<|file_sep|>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ },
181
+ "151665": {
182
+ "content": "<|trace_context_start|>",
183
+ "lstrip": false,
184
+ "normalized": false,
185
+ "rstrip": false,
186
+ "single_word": false,
187
+ "special": true
188
+ },
189
+ "151666": {
190
+ "content": "<|call_sep|>",
191
+ "lstrip": false,
192
+ "normalized": false,
193
+ "rstrip": false,
194
+ "single_word": false,
195
+ "special": true
196
+ },
197
+ "151667": {
198
+ "content": "<|line_sep|>",
199
+ "lstrip": false,
200
+ "normalized": false,
201
+ "rstrip": false,
202
+ "single_word": false,
203
+ "special": true
204
+ },
205
+ "151668": {
206
+ "content": "<|return_sep|>",
207
+ "lstrip": false,
208
+ "normalized": false,
209
+ "rstrip": false,
210
+ "single_word": false,
211
+ "special": true
212
+ },
213
+ "151669": {
214
+ "content": "<|exception_sep|>",
215
+ "lstrip": false,
216
+ "normalized": false,
217
+ "rstrip": false,
218
+ "single_word": false,
219
+ "special": true
220
+ },
221
+ "151670": {
222
+ "content": "<|action_sep|>",
223
+ "lstrip": false,
224
+ "normalized": false,
225
+ "rstrip": false,
226
+ "single_word": false,
227
+ "special": true
228
+ },
229
+ "151671": {
230
+ "content": "<|arg_sep|>",
231
+ "lstrip": false,
232
+ "normalized": false,
233
+ "rstrip": false,
234
+ "single_word": false,
235
+ "special": true
236
+ },
237
+ "151672": {
238
+ "content": "<|frame_sep|>",
239
+ "lstrip": false,
240
+ "normalized": false,
241
+ "rstrip": false,
242
+ "single_word": false,
243
+ "special": true
244
+ },
245
+ "151673": {
246
+ "content": "<|end_of_text|>",
247
+ "lstrip": false,
248
+ "normalized": false,
249
+ "rstrip": false,
250
+ "single_word": false,
251
+ "special": true
252
+ },
253
+ "151674": {
254
+ "content": "<|latent_start|>",
255
+ "lstrip": false,
256
+ "normalized": false,
257
+ "rstrip": false,
258
+ "single_word": false,
259
+ "special": true
260
+ },
261
+ "151675": {
262
+ "content": "<|latent_end|>",
263
+ "lstrip": false,
264
+ "normalized": false,
265
+ "rstrip": false,
266
+ "single_word": false,
267
+ "special": true
268
+ }
269
+ },
270
+ "additional_special_tokens": [
271
+ "<|im_start|>",
272
+ "<|im_end|>",
273
+ "<|object_ref_start|>",
274
+ "<|object_ref_end|>",
275
+ "<|box_start|>",
276
+ "<|box_end|>",
277
+ "<|quad_start|>",
278
+ "<|quad_end|>",
279
+ "<|vision_start|>",
280
+ "<|vision_end|>",
281
+ "<|vision_pad|>",
282
+ "<|image_pad|>",
283
+ "<|video_pad|>"
284
+ ],
285
+ "bos_token": null,
286
+ "clean_up_tokenization_spaces": false,
287
+ "eos_token": "<|endoftext|>",
288
+ "errors": "replace",
289
+ "extra_special_tokens": {},
290
+ "model_max_length": 32768,
291
+ "pad_token": "<|endoftext|>",
292
+ "split_special_tokens": false,
293
+ "tokenizer_class": "Qwen2Tokenizer",
294
+ "unk_token": null
295
+ }
checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1200/trainer_state.json ADDED
@@ -0,0 +1,2914 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 0.34594594594594597,
6
+ "eval_steps": 500,
7
+ "global_step": 1200,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.0014414414414414415,
14
+ "grad_norm": 144.0,
15
+ "kd_loss": 0.18668268620967865,
16
+ "learning_rate": 8.88888888888889e-07,
17
+ "loss": 5.0919,
18
+ "recon_loss": 11.27502727508545,
19
+ "recon_trunc": 0.0,
20
+ "step": 5,
21
+ "student_loss": 3.2272865772247314,
22
+ "teacher_loss": 1.4361733198165894
23
+ },
24
+ {
25
+ "epoch": 0.002882882882882883,
26
+ "grad_norm": 127.5,
27
+ "kd_loss": 0.20599040389060974,
28
+ "learning_rate": 2.0000000000000003e-06,
29
+ "loss": 4.8166,
30
+ "recon_loss": 8.36417293548584,
31
+ "recon_trunc": 0.0,
32
+ "step": 10,
33
+ "student_loss": 2.726564407348633,
34
+ "teacher_loss": 1.1014676094055176
35
+ },
36
+ {
37
+ "epoch": 0.004324324324324324,
38
+ "grad_norm": 6176.0,
39
+ "kd_loss": 0.16678810119628906,
40
+ "learning_rate": 3.1111111111111116e-06,
41
+ "loss": 4.7608,
42
+ "recon_loss": 6.041282653808594,
43
+ "recon_trunc": 0.0,
44
+ "step": 15,
45
+ "student_loss": 1.5410536527633667,
46
+ "teacher_loss": 1.1915134191513062
47
+ },
48
+ {
49
+ "epoch": 0.005765765765765766,
50
+ "grad_norm": 135.0,
51
+ "kd_loss": 0.20393367111682892,
52
+ "learning_rate": 4.222222222222223e-06,
53
+ "loss": 4.8779,
54
+ "recon_loss": 5.446779251098633,
55
+ "recon_trunc": 0.0,
56
+ "step": 20,
57
+ "student_loss": 2.177321672439575,
58
+ "teacher_loss": 0.6389463543891907
59
+ },
60
+ {
61
+ "epoch": 0.007207207207207207,
62
+ "grad_norm": 253952.0,
63
+ "kd_loss": 0.22543171048164368,
64
+ "learning_rate": 5.333333333333334e-06,
65
+ "loss": 4.5538,
66
+ "recon_loss": 9.855738639831543,
67
+ "recon_trunc": 0.0,
68
+ "step": 25,
69
+ "student_loss": 2.061642646789551,
70
+ "teacher_loss": 1.7715281248092651
71
+ },
72
+ {
73
+ "epoch": 0.008648648648648649,
74
+ "grad_norm": 768.0,
75
+ "kd_loss": 0.19796203076839447,
76
+ "learning_rate": 6.444444444444445e-06,
77
+ "loss": 4.4295,
78
+ "recon_loss": 5.747690200805664,
79
+ "recon_trunc": 0.0,
80
+ "step": 30,
81
+ "student_loss": 2.255260944366455,
82
+ "teacher_loss": 1.9419420957565308
83
+ },
84
+ {
85
+ "epoch": 0.01009009009009009,
86
+ "grad_norm": 7808.0,
87
+ "kd_loss": 0.17444051802158356,
88
+ "learning_rate": 7.555555555555556e-06,
89
+ "loss": 4.3142,
90
+ "recon_loss": 9.594672203063965,
91
+ "recon_trunc": 0.0,
92
+ "step": 35,
93
+ "student_loss": 2.9477691650390625,
94
+ "teacher_loss": 2.030805826187134
95
+ },
96
+ {
97
+ "epoch": 0.011531531531531532,
98
+ "grad_norm": 84.0,
99
+ "kd_loss": 0.19227176904678345,
100
+ "learning_rate": 8.666666666666668e-06,
101
+ "loss": 4.4129,
102
+ "recon_loss": 6.2831501960754395,
103
+ "recon_trunc": 0.0,
104
+ "step": 40,
105
+ "student_loss": 2.40488338470459,
106
+ "teacher_loss": 0.9565104246139526
107
+ },
108
+ {
109
+ "epoch": 0.012972972972972972,
110
+ "grad_norm": 53.5,
111
+ "kd_loss": 0.16631732881069183,
112
+ "learning_rate": 9.777777777777779e-06,
113
+ "loss": 4.2628,
114
+ "recon_loss": 6.8525390625,
115
+ "recon_trunc": 0.0,
116
+ "step": 45,
117
+ "student_loss": 3.3176517486572266,
118
+ "teacher_loss": 2.6601927280426025
119
+ },
120
+ {
121
+ "epoch": 0.014414414414414415,
122
+ "grad_norm": 69.5,
123
+ "kd_loss": 0.150796577334404,
124
+ "learning_rate": 9.999813520519569e-06,
125
+ "loss": 3.4106,
126
+ "recon_loss": 3.702688455581665,
127
+ "recon_trunc": 0.0,
128
+ "step": 50,
129
+ "student_loss": 1.7257497310638428,
130
+ "teacher_loss": 1.1742305755615234
131
+ },
132
+ {
133
+ "epoch": 0.015855855855855857,
134
+ "grad_norm": 35.5,
135
+ "kd_loss": 0.13769835233688354,
136
+ "learning_rate": 9.999055971469864e-06,
137
+ "loss": 3.1423,
138
+ "recon_loss": 2.6614763736724854,
139
+ "recon_trunc": 0.0,
140
+ "step": 55,
141
+ "student_loss": 1.2244848012924194,
142
+ "teacher_loss": 0.9719807505607605
143
+ },
144
+ {
145
+ "epoch": 0.017297297297297298,
146
+ "grad_norm": 32.5,
147
+ "kd_loss": 0.11417189985513687,
148
+ "learning_rate": 9.997715786107228e-06,
149
+ "loss": 2.9039,
150
+ "recon_loss": 2.063100576400757,
151
+ "recon_trunc": 0.0,
152
+ "step": 60,
153
+ "student_loss": 1.9033191204071045,
154
+ "teacher_loss": 0.6805936694145203
155
+ },
156
+ {
157
+ "epoch": 0.018738738738738738,
158
+ "grad_norm": 34.75,
159
+ "kd_loss": 0.1221928671002388,
160
+ "learning_rate": 9.995793120629282e-06,
161
+ "loss": 2.7189,
162
+ "recon_loss": 2.155364513397217,
163
+ "recon_trunc": 0.0,
164
+ "step": 65,
165
+ "student_loss": 1.172133207321167,
166
+ "teacher_loss": 0.4049614667892456
167
+ },
168
+ {
169
+ "epoch": 0.02018018018018018,
170
+ "grad_norm": 36.5,
171
+ "kd_loss": 0.07467015832662582,
172
+ "learning_rate": 9.993288199121283e-06,
173
+ "loss": 2.4826,
174
+ "recon_loss": 2.2295444011688232,
175
+ "recon_trunc": 0.0,
176
+ "step": 70,
177
+ "student_loss": 1.2911094427108765,
178
+ "teacher_loss": 1.190304160118103
179
+ },
180
+ {
181
+ "epoch": 0.021621621621621623,
182
+ "grad_norm": 31.0,
183
+ "kd_loss": 0.09782560914754868,
184
+ "learning_rate": 9.990201313529995e-06,
185
+ "loss": 2.2692,
186
+ "recon_loss": 2.263787031173706,
187
+ "recon_trunc": 0.0,
188
+ "step": 75,
189
+ "student_loss": 0.8870642185211182,
190
+ "teacher_loss": 0.38332948088645935
191
+ },
192
+ {
193
+ "epoch": 0.023063063063063063,
194
+ "grad_norm": 31.25,
195
+ "kd_loss": 0.08544448763132095,
196
+ "learning_rate": 9.986532823629675e-06,
197
+ "loss": 1.9822,
198
+ "recon_loss": 2.109919548034668,
199
+ "recon_trunc": 0.0,
200
+ "step": 80,
201
+ "student_loss": 1.538913607597351,
202
+ "teacher_loss": 0.5950594544410706
203
+ },
204
+ {
205
+ "epoch": 0.024504504504504504,
206
+ "grad_norm": 30.5,
207
+ "kd_loss": 0.06714422255754471,
208
+ "learning_rate": 9.982283156980133e-06,
209
+ "loss": 1.7643,
210
+ "recon_loss": 3.1866095066070557,
211
+ "recon_trunc": 0.0,
212
+ "step": 85,
213
+ "student_loss": 1.037903904914856,
214
+ "teacher_loss": 0.8964719176292419
215
+ },
216
+ {
217
+ "epoch": 0.025945945945945945,
218
+ "grad_norm": 29.25,
219
+ "kd_loss": 0.06367570161819458,
220
+ "learning_rate": 9.977452808876907e-06,
221
+ "loss": 1.5629,
222
+ "recon_loss": 3.314178466796875,
223
+ "recon_trunc": 0.0,
224
+ "step": 90,
225
+ "student_loss": 0.7879223227500916,
226
+ "teacher_loss": 0.6495854258537292
227
+ },
228
+ {
229
+ "epoch": 0.02738738738738739,
230
+ "grad_norm": 25.5,
231
+ "kd_loss": 0.05303771421313286,
232
+ "learning_rate": 9.972042342293531e-06,
233
+ "loss": 1.405,
234
+ "recon_loss": 2.446079730987549,
235
+ "recon_trunc": 0.0,
236
+ "step": 95,
237
+ "student_loss": 0.6456317901611328,
238
+ "teacher_loss": 0.5170290470123291
239
+ },
240
+ {
241
+ "epoch": 0.02882882882882883,
242
+ "grad_norm": 23.875,
243
+ "kd_loss": 0.05943922698497772,
244
+ "learning_rate": 9.966052387815923e-06,
245
+ "loss": 1.2091,
246
+ "recon_loss": 1.8016548156738281,
247
+ "recon_trunc": 0.0,
248
+ "step": 100,
249
+ "student_loss": 0.6617249250411987,
250
+ "teacher_loss": 0.47058895230293274
251
+ },
252
+ {
253
+ "epoch": 0.03027027027027027,
254
+ "grad_norm": 20.375,
255
+ "kd_loss": 0.0777481347322464,
256
+ "learning_rate": 9.959483643568893e-06,
257
+ "loss": 1.0222,
258
+ "recon_loss": 1.344748616218567,
259
+ "recon_trunc": 0.0,
260
+ "step": 105,
261
+ "student_loss": 0.8499628901481628,
262
+ "teacher_loss": 0.5487883687019348
263
+ },
264
+ {
265
+ "epoch": 0.031711711711711714,
266
+ "grad_norm": 14.625,
267
+ "kd_loss": 0.0892779678106308,
268
+ "learning_rate": 9.95233687513477e-06,
269
+ "loss": 0.9259,
270
+ "recon_loss": 2.6645045280456543,
271
+ "recon_trunc": 0.0,
272
+ "step": 110,
273
+ "student_loss": 0.4784584939479828,
274
+ "teacher_loss": 0.21723365783691406
275
+ },
276
+ {
277
+ "epoch": 0.033153153153153155,
278
+ "grad_norm": 12.6875,
279
+ "kd_loss": 0.05595879256725311,
280
+ "learning_rate": 9.944612915464183e-06,
281
+ "loss": 0.8526,
282
+ "recon_loss": 1.4303338527679443,
283
+ "recon_trunc": 0.0,
284
+ "step": 115,
285
+ "student_loss": 0.42129674553871155,
286
+ "teacher_loss": 0.34839943051338196
287
+ },
288
+ {
289
+ "epoch": 0.034594594594594595,
290
+ "grad_norm": 9.75,
291
+ "kd_loss": 0.04541080817580223,
292
+ "learning_rate": 9.936312664778978e-06,
293
+ "loss": 0.8036,
294
+ "recon_loss": 1.4835879802703857,
295
+ "recon_trunc": 0.0,
296
+ "step": 120,
297
+ "student_loss": 0.2531515657901764,
298
+ "teacher_loss": 0.21365374326705933
299
+ },
300
+ {
301
+ "epoch": 0.036036036036036036,
302
+ "grad_norm": 6.78125,
303
+ "kd_loss": 0.04539714753627777,
304
+ "learning_rate": 9.92743709046729e-06,
305
+ "loss": 0.7758,
306
+ "recon_loss": 2.6002440452575684,
307
+ "recon_trunc": 0.0,
308
+ "step": 125,
309
+ "student_loss": 0.5731778740882874,
310
+ "teacher_loss": 0.4177762567996979
311
+ },
312
+ {
313
+ "epoch": 0.037477477477477476,
314
+ "grad_norm": 6.5,
315
+ "kd_loss": 0.0358523465692997,
316
+ "learning_rate": 9.917987226970811e-06,
317
+ "loss": 0.6983,
318
+ "recon_loss": 3.8052804470062256,
319
+ "recon_trunc": 0.0,
320
+ "step": 130,
321
+ "student_loss": 0.29267042875289917,
322
+ "teacher_loss": 0.2587020695209503
323
+ },
324
+ {
325
+ "epoch": 0.03891891891891892,
326
+ "grad_norm": 6.6875,
327
+ "kd_loss": 0.04369649663567543,
328
+ "learning_rate": 9.907964175664207e-06,
329
+ "loss": 0.6848,
330
+ "recon_loss": 1.7037179470062256,
331
+ "recon_trunc": 0.0,
332
+ "step": 135,
333
+ "student_loss": 0.31005415320396423,
334
+ "teacher_loss": 0.16338767111301422
335
+ },
336
+ {
337
+ "epoch": 0.04036036036036036,
338
+ "grad_norm": 8.8125,
339
+ "kd_loss": 0.030473196879029274,
340
+ "learning_rate": 9.897369104726772e-06,
341
+ "loss": 0.6438,
342
+ "recon_loss": 2.9579691886901855,
343
+ "recon_trunc": 0.0,
344
+ "step": 140,
345
+ "student_loss": 0.5350664258003235,
346
+ "teacher_loss": 0.45312559604644775
347
+ },
348
+ {
349
+ "epoch": 0.041801801801801805,
350
+ "grad_norm": 10.5,
351
+ "kd_loss": 0.04736681282520294,
352
+ "learning_rate": 9.886203249006265e-06,
353
+ "loss": 0.6417,
354
+ "recon_loss": 1.3402631282806396,
355
+ "recon_trunc": 0.0,
356
+ "step": 145,
357
+ "student_loss": 0.13968625664710999,
358
+ "teacher_loss": 0.13039764761924744
359
+ },
360
+ {
361
+ "epoch": 0.043243243243243246,
362
+ "grad_norm": 8.5625,
363
+ "kd_loss": 0.035465020686388016,
364
+ "learning_rate": 9.874467909874994e-06,
365
+ "loss": 0.5845,
366
+ "recon_loss": 1.7700623273849487,
367
+ "recon_trunc": 0.0,
368
+ "step": 150,
369
+ "student_loss": 0.346703439950943,
370
+ "teacher_loss": 0.16136543452739716
371
+ },
372
+ {
373
+ "epoch": 0.044684684684684686,
374
+ "grad_norm": 9.0625,
375
+ "kd_loss": 0.04292791336774826,
376
+ "learning_rate": 9.862164455078141e-06,
377
+ "loss": 0.5625,
378
+ "recon_loss": 1.3899339437484741,
379
+ "recon_trunc": 0.0,
380
+ "step": 155,
381
+ "student_loss": 0.25330430269241333,
382
+ "teacher_loss": 0.15239955484867096
383
+ },
384
+ {
385
+ "epoch": 0.04612612612612613,
386
+ "grad_norm": 8.375,
387
+ "kd_loss": 0.04669129103422165,
388
+ "learning_rate": 9.849294318574353e-06,
389
+ "loss": 0.5287,
390
+ "recon_loss": 2.322531223297119,
391
+ "recon_trunc": 0.0,
392
+ "step": 160,
393
+ "student_loss": 0.2261267602443695,
394
+ "teacher_loss": 0.08589927107095718
395
+ },
396
+ {
397
+ "epoch": 0.04756756756756757,
398
+ "grad_norm": 7.90625,
399
+ "kd_loss": 0.034078288823366165,
400
+ "learning_rate": 9.835859000368615e-06,
401
+ "loss": 0.4944,
402
+ "recon_loss": 2.0721518993377686,
403
+ "recon_trunc": 0.0,
404
+ "step": 165,
405
+ "student_loss": 0.2308652698993683,
406
+ "teacher_loss": 0.14940541982650757
407
+ },
408
+ {
409
+ "epoch": 0.04900900900900901,
410
+ "grad_norm": 9.1875,
411
+ "kd_loss": 0.042618874460458755,
412
+ "learning_rate": 9.821860066337427e-06,
413
+ "loss": 0.4743,
414
+ "recon_loss": 1.079853892326355,
415
+ "recon_trunc": 0.0,
416
+ "step": 170,
417
+ "student_loss": 0.13290715217590332,
418
+ "teacher_loss": 0.06264088302850723
419
+ },
420
+ {
421
+ "epoch": 0.05045045045045045,
422
+ "grad_norm": 6.71875,
423
+ "kd_loss": 0.038317374885082245,
424
+ "learning_rate": 9.807299148046301e-06,
425
+ "loss": 0.4088,
426
+ "recon_loss": 1.7100510597229004,
427
+ "recon_trunc": 0.1666666716337204,
428
+ "step": 175,
429
+ "student_loss": 0.2707020938396454,
430
+ "teacher_loss": 0.3391987979412079
431
+ },
432
+ {
433
+ "epoch": 0.05189189189189189,
434
+ "grad_norm": 7.71875,
435
+ "kd_loss": 0.03604669123888016,
436
+ "learning_rate": 9.792177942559598e-06,
437
+ "loss": 0.3935,
438
+ "recon_loss": 1.3424031734466553,
439
+ "recon_trunc": 0.0,
440
+ "step": 180,
441
+ "student_loss": 0.10768720507621765,
442
+ "teacher_loss": 0.05560263246297836
443
+ },
444
+ {
445
+ "epoch": 0.05333333333333334,
446
+ "grad_norm": 5.875,
447
+ "kd_loss": 0.046635184437036514,
448
+ "learning_rate": 9.776498212242748e-06,
449
+ "loss": 0.3469,
450
+ "recon_loss": 1.495619535446167,
451
+ "recon_trunc": 0.0,
452
+ "step": 185,
453
+ "student_loss": 0.18289713561534882,
454
+ "teacher_loss": 0.05616335570812225
455
+ },
456
+ {
457
+ "epoch": 0.05477477477477478,
458
+ "grad_norm": 5.78125,
459
+ "kd_loss": 0.04560407996177673,
460
+ "learning_rate": 9.76026178455684e-06,
461
+ "loss": 0.3421,
462
+ "recon_loss": 1.6703602075576782,
463
+ "recon_trunc": 0.0416666679084301,
464
+ "step": 190,
465
+ "student_loss": 0.10543839633464813,
466
+ "teacher_loss": 0.09451761096715927
467
+ },
468
+ {
469
+ "epoch": 0.05621621621621622,
470
+ "grad_norm": 4.46875,
471
+ "kd_loss": 0.023925229907035828,
472
+ "learning_rate": 9.743470551845625e-06,
473
+ "loss": 0.2909,
474
+ "recon_loss": 1.3105652332305908,
475
+ "recon_trunc": 0.0,
476
+ "step": 195,
477
+ "student_loss": 0.09683974087238312,
478
+ "teacher_loss": 0.060805100947618484
479
+ },
480
+ {
481
+ "epoch": 0.05765765765765766,
482
+ "grad_norm": 4.625,
483
+ "kd_loss": 0.020097926259040833,
484
+ "learning_rate": 9.726126471114985e-06,
485
+ "loss": 0.273,
486
+ "recon_loss": 1.6309553384780884,
487
+ "recon_trunc": 0.0,
488
+ "step": 200,
489
+ "student_loss": 0.1421128213405609,
490
+ "teacher_loss": 0.1302688717842102
491
+ },
492
+ {
493
+ "epoch": 0.0590990990990991,
494
+ "grad_norm": 6.53125,
495
+ "kd_loss": 0.03434700518846512,
496
+ "learning_rate": 9.708231563804828e-06,
497
+ "loss": 0.2626,
498
+ "recon_loss": 1.0981206893920898,
499
+ "recon_trunc": 0.0,
500
+ "step": 205,
501
+ "student_loss": 0.03550760820508003,
502
+ "teacher_loss": 0.03432264178991318
503
+ },
504
+ {
505
+ "epoch": 0.06054054054054054,
506
+ "grad_norm": 4.03125,
507
+ "kd_loss": 0.0490451417863369,
508
+ "learning_rate": 9.689787915553497e-06,
509
+ "loss": 0.2458,
510
+ "recon_loss": 1.5271836519241333,
511
+ "recon_trunc": 0.021276595070958138,
512
+ "step": 210,
513
+ "student_loss": 0.10633832961320877,
514
+ "teacher_loss": 0.04522276669740677
515
+ },
516
+ {
517
+ "epoch": 0.06198198198198198,
518
+ "grad_norm": 3.5625,
519
+ "kd_loss": 0.030574269592761993,
520
+ "learning_rate": 9.670797675954693e-06,
521
+ "loss": 0.2322,
522
+ "recon_loss": 1.0532352924346924,
523
+ "recon_trunc": 0.0,
524
+ "step": 215,
525
+ "student_loss": 0.03432159870862961,
526
+ "teacher_loss": 0.029644442722201347
527
+ },
528
+ {
529
+ "epoch": 0.06342342342342343,
530
+ "grad_norm": 3.578125,
531
+ "kd_loss": 0.02381826564669609,
532
+ "learning_rate": 9.651263058306932e-06,
533
+ "loss": 0.2022,
534
+ "recon_loss": 1.1155163049697876,
535
+ "recon_trunc": 0.0,
536
+ "step": 220,
537
+ "student_loss": 0.03244610130786896,
538
+ "teacher_loss": 0.03664662688970566
539
+ },
540
+ {
541
+ "epoch": 0.06486486486486487,
542
+ "grad_norm": 4.0625,
543
+ "kd_loss": 0.04193637892603874,
544
+ "learning_rate": 9.631186339355599e-06,
545
+ "loss": 0.1995,
546
+ "recon_loss": 1.2504764795303345,
547
+ "recon_trunc": 0.0,
548
+ "step": 225,
549
+ "student_loss": 0.052963703870773315,
550
+ "teacher_loss": 0.042675312608480453
551
+ },
552
+ {
553
+ "epoch": 0.06630630630630631,
554
+ "grad_norm": 3.71875,
555
+ "kd_loss": 0.022358015179634094,
556
+ "learning_rate": 9.610569859027585e-06,
557
+ "loss": 0.2074,
558
+ "recon_loss": 1.3408961296081543,
559
+ "recon_trunc": 0.0,
560
+ "step": 230,
561
+ "student_loss": 0.06527604162693024,
562
+ "teacher_loss": 0.06690996885299683
563
+ },
564
+ {
565
+ "epoch": 0.06774774774774775,
566
+ "grad_norm": 3.953125,
567
+ "kd_loss": 0.04554065316915512,
568
+ "learning_rate": 9.589416020158577e-06,
569
+ "loss": 0.2046,
570
+ "recon_loss": 1.0968328714370728,
571
+ "recon_trunc": 0.0,
572
+ "step": 235,
573
+ "student_loss": 0.037662506103515625,
574
+ "teacher_loss": 0.01968599110841751
575
+ },
576
+ {
577
+ "epoch": 0.06918918918918919,
578
+ "grad_norm": 3.609375,
579
+ "kd_loss": 0.03338759392499924,
580
+ "learning_rate": 9.567727288213005e-06,
581
+ "loss": 0.1812,
582
+ "recon_loss": 1.7976175546646118,
583
+ "recon_trunc": 0.0,
584
+ "step": 240,
585
+ "student_loss": 0.06893198937177658,
586
+ "teacher_loss": 0.03559521958231926
587
+ },
588
+ {
589
+ "epoch": 0.07063063063063063,
590
+ "grad_norm": 3.171875,
591
+ "kd_loss": 0.01759061962366104,
592
+ "learning_rate": 9.545506190996695e-06,
593
+ "loss": 0.169,
594
+ "recon_loss": 1.6089872121810913,
595
+ "recon_trunc": 0.0,
596
+ "step": 245,
597
+ "student_loss": 0.041334331035614014,
598
+ "teacher_loss": 0.030137302353978157
599
+ },
600
+ {
601
+ "epoch": 0.07207207207207207,
602
+ "grad_norm": 3.609375,
603
+ "kd_loss": 0.03067457303404808,
604
+ "learning_rate": 9.52275531836226e-06,
605
+ "loss": 0.1498,
606
+ "recon_loss": 1.2096911668777466,
607
+ "recon_trunc": 0.0,
608
+ "step": 250,
609
+ "student_loss": 0.07505633682012558,
610
+ "teacher_loss": 0.07239583134651184
611
+ },
612
+ {
613
+ "epoch": 0.07351351351351351,
614
+ "grad_norm": 3.15625,
615
+ "kd_loss": 0.02453661896288395,
616
+ "learning_rate": 9.499477321907243e-06,
617
+ "loss": 0.1445,
618
+ "recon_loss": 1.6908211708068848,
619
+ "recon_trunc": 0.0,
620
+ "step": 255,
621
+ "student_loss": 0.016758263111114502,
622
+ "teacher_loss": 0.013908207416534424
623
+ },
624
+ {
625
+ "epoch": 0.07495495495495495,
626
+ "grad_norm": 3.171875,
627
+ "kd_loss": 0.02927604876458645,
628
+ "learning_rate": 9.475674914665084e-06,
629
+ "loss": 0.1595,
630
+ "recon_loss": 1.4746726751327515,
631
+ "recon_trunc": 0.0,
632
+ "step": 260,
633
+ "student_loss": 0.05420182645320892,
634
+ "teacher_loss": 0.02283495105803013
635
+ },
636
+ {
637
+ "epoch": 0.0763963963963964,
638
+ "grad_norm": 3.125,
639
+ "kd_loss": 0.030070308595895767,
640
+ "learning_rate": 9.451350870788922e-06,
641
+ "loss": 0.1621,
642
+ "recon_loss": 1.2860867977142334,
643
+ "recon_trunc": 0.0,
644
+ "step": 265,
645
+ "student_loss": 0.041329968720674515,
646
+ "teacher_loss": 0.007841577753424644
647
+ },
648
+ {
649
+ "epoch": 0.07783783783783783,
650
+ "grad_norm": 3.234375,
651
+ "kd_loss": 0.01138228364288807,
652
+ "learning_rate": 9.426508025228255e-06,
653
+ "loss": 0.156,
654
+ "recon_loss": 1.46453857421875,
655
+ "recon_trunc": 0.0,
656
+ "step": 270,
657
+ "student_loss": 0.025395482778549194,
658
+ "teacher_loss": 0.024079594761133194
659
+ },
660
+ {
661
+ "epoch": 0.07927927927927927,
662
+ "grad_norm": 1.953125,
663
+ "kd_loss": 0.012232596054673195,
664
+ "learning_rate": 9.401149273398547e-06,
665
+ "loss": 0.1578,
666
+ "recon_loss": 1.163053035736084,
667
+ "recon_trunc": 0.0,
668
+ "step": 275,
669
+ "student_loss": 0.010497995652258396,
670
+ "teacher_loss": 0.009640091098845005
671
+ },
672
+ {
673
+ "epoch": 0.08072072072072072,
674
+ "grad_norm": 2.375,
675
+ "kd_loss": 0.04322246462106705,
676
+ "learning_rate": 9.37527757084375e-06,
677
+ "loss": 0.1418,
678
+ "recon_loss": 2.4887444972991943,
679
+ "recon_trunc": 0.013513513840734959,
680
+ "step": 280,
681
+ "student_loss": 0.041192568838596344,
682
+ "teacher_loss": 0.020611625164747238
683
+ },
684
+ {
685
+ "epoch": 0.08216216216216216,
686
+ "grad_norm": 4.0,
687
+ "kd_loss": 0.0165244247764349,
688
+ "learning_rate": 9.348895932891857e-06,
689
+ "loss": 0.1369,
690
+ "recon_loss": 1.9490307569503784,
691
+ "recon_trunc": 0.0,
692
+ "step": 285,
693
+ "student_loss": 0.06232248619198799,
694
+ "teacher_loss": 0.08218289911746979
695
+ },
696
+ {
697
+ "epoch": 0.08360360360360361,
698
+ "grad_norm": 3.53125,
699
+ "kd_loss": 0.01325551699846983,
700
+ "learning_rate": 9.322007434303449e-06,
701
+ "loss": 0.1411,
702
+ "recon_loss": 3.0142760276794434,
703
+ "recon_trunc": 0.0,
704
+ "step": 290,
705
+ "student_loss": 0.014739612117409706,
706
+ "teacher_loss": 0.014967009425163269
707
+ },
708
+ {
709
+ "epoch": 0.08504504504504505,
710
+ "grad_norm": 3.359375,
711
+ "kd_loss": 0.03525789454579353,
712
+ "learning_rate": 9.29461520891335e-06,
713
+ "loss": 0.1508,
714
+ "recon_loss": 1.8346909284591675,
715
+ "recon_trunc": 0.0,
716
+ "step": 295,
717
+ "student_loss": 0.05333559215068817,
718
+ "teacher_loss": 0.01834472082555294
719
+ },
720
+ {
721
+ "epoch": 0.08648648648648649,
722
+ "grad_norm": 2.78125,
723
+ "kd_loss": 0.020346438512206078,
724
+ "learning_rate": 9.266722449265371e-06,
725
+ "loss": 0.1323,
726
+ "recon_loss": 1.0011640787124634,
727
+ "recon_trunc": 0.0,
728
+ "step": 300,
729
+ "student_loss": 0.11178486794233322,
730
+ "teacher_loss": 0.10985656827688217
731
+ },
732
+ {
733
+ "epoch": 0.08792792792792793,
734
+ "grad_norm": 2.3125,
735
+ "kd_loss": 0.023063305765390396,
736
+ "learning_rate": 9.238332406240224e-06,
737
+ "loss": 0.1389,
738
+ "recon_loss": 1.3658217191696167,
739
+ "recon_trunc": 0.0,
740
+ "step": 305,
741
+ "student_loss": 0.09694303572177887,
742
+ "teacher_loss": 0.07988587766885757
743
+ },
744
+ {
745
+ "epoch": 0.08936936936936937,
746
+ "grad_norm": 2.0625,
747
+ "kd_loss": 0.014214077033102512,
748
+ "learning_rate": 9.209448388676636e-06,
749
+ "loss": 0.1389,
750
+ "recon_loss": 1.2214659452438354,
751
+ "recon_trunc": 0.0,
752
+ "step": 310,
753
+ "student_loss": 0.006524513941258192,
754
+ "teacher_loss": 0.02097470313310623
755
+ },
756
+ {
757
+ "epoch": 0.09081081081081081,
758
+ "grad_norm": 1.9140625,
759
+ "kd_loss": 0.01485999021679163,
760
+ "learning_rate": 9.180073762985701e-06,
761
+ "loss": 0.1395,
762
+ "recon_loss": 4.162618160247803,
763
+ "recon_trunc": 0.0,
764
+ "step": 315,
765
+ "student_loss": 0.04494684562087059,
766
+ "teacher_loss": 0.031888674944639206
767
+ },
768
+ {
769
+ "epoch": 0.09225225225225225,
770
+ "grad_norm": 2.15625,
771
+ "kd_loss": 0.022917235270142555,
772
+ "learning_rate": 9.15021195275854e-06,
773
+ "loss": 0.1285,
774
+ "recon_loss": 1.1853079795837402,
775
+ "recon_trunc": 0.0,
776
+ "step": 320,
777
+ "student_loss": 0.021672768518328667,
778
+ "teacher_loss": 0.014209315180778503
779
+ },
780
+ {
781
+ "epoch": 0.0936936936936937,
782
+ "grad_norm": 2.15625,
783
+ "kd_loss": 0.022615715861320496,
784
+ "learning_rate": 9.119866438367263e-06,
785
+ "loss": 0.1394,
786
+ "recon_loss": 1.818947196006775,
787
+ "recon_trunc": 0.0,
788
+ "step": 325,
789
+ "student_loss": 0.028340045362710953,
790
+ "teacher_loss": 0.013725091703236103
791
+ },
792
+ {
793
+ "epoch": 0.09513513513513513,
794
+ "grad_norm": 2.296875,
795
+ "kd_loss": 0.011119124479591846,
796
+ "learning_rate": 9.089040756559352e-06,
797
+ "loss": 0.1317,
798
+ "recon_loss": 2.282118558883667,
799
+ "recon_trunc": 0.0,
800
+ "step": 330,
801
+ "student_loss": 0.03408842533826828,
802
+ "teacher_loss": 0.04678163677453995
803
+ },
804
+ {
805
+ "epoch": 0.09657657657657658,
806
+ "grad_norm": 2.265625,
807
+ "kd_loss": 0.01260451227426529,
808
+ "learning_rate": 9.057738500045453e-06,
809
+ "loss": 0.1314,
810
+ "recon_loss": 0.6638595461845398,
811
+ "recon_trunc": 0.0,
812
+ "step": 335,
813
+ "student_loss": 0.019066525623202324,
814
+ "teacher_loss": 0.014849068596959114
815
+ },
816
+ {
817
+ "epoch": 0.09801801801801802,
818
+ "grad_norm": 2.5625,
819
+ "kd_loss": 0.02786502055823803,
820
+ "learning_rate": 9.025963317080641e-06,
821
+ "loss": 0.1279,
822
+ "recon_loss": 1.0848702192306519,
823
+ "recon_trunc": 0.0,
824
+ "step": 340,
825
+ "student_loss": 0.008073833771049976,
826
+ "teacher_loss": 0.005774135701358318
827
+ },
828
+ {
829
+ "epoch": 0.09945945945945946,
830
+ "grad_norm": 2.828125,
831
+ "kd_loss": 0.022951554507017136,
832
+ "learning_rate": 8.993718911039221e-06,
833
+ "loss": 0.1183,
834
+ "recon_loss": 1.0540446043014526,
835
+ "recon_trunc": 0.0,
836
+ "step": 345,
837
+ "student_loss": 0.0063321711495518684,
838
+ "teacher_loss": 0.006896166130900383
839
+ },
840
+ {
841
+ "epoch": 0.1009009009009009,
842
+ "grad_norm": 2.203125,
843
+ "kd_loss": 0.03470675274729729,
844
+ "learning_rate": 8.96100903998311e-06,
845
+ "loss": 0.1377,
846
+ "recon_loss": 1.5478863716125488,
847
+ "recon_trunc": 0.0,
848
+ "step": 350,
849
+ "student_loss": 0.04314170405268669,
850
+ "teacher_loss": 0.013373729772865772
851
+ },
852
+ {
853
+ "epoch": 0.10234234234234234,
854
+ "grad_norm": 3.296875,
855
+ "kd_loss": 0.0213958527892828,
856
+ "learning_rate": 8.927837516223824e-06,
857
+ "loss": 0.145,
858
+ "recon_loss": 0.774444580078125,
859
+ "recon_trunc": 0.0,
860
+ "step": 355,
861
+ "student_loss": 0.02257266826927662,
862
+ "teacher_loss": 0.016409652307629585
863
+ },
864
+ {
865
+ "epoch": 0.10378378378378378,
866
+ "grad_norm": 2.5625,
867
+ "kd_loss": 0.024546559900045395,
868
+ "learning_rate": 8.89420820587817e-06,
869
+ "loss": 0.1346,
870
+ "recon_loss": 1.2082504034042358,
871
+ "recon_trunc": 0.0,
872
+ "step": 360,
873
+ "student_loss": 0.04384709522128105,
874
+ "teacher_loss": 0.04615149646997452
875
+ },
876
+ {
877
+ "epoch": 0.10522522522522522,
878
+ "grad_norm": 1.859375,
879
+ "kd_loss": 0.03939265385270119,
880
+ "learning_rate": 8.86012502841764e-06,
881
+ "loss": 0.1226,
882
+ "recon_loss": 1.1720443964004517,
883
+ "recon_trunc": 0.01785714365541935,
884
+ "step": 365,
885
+ "student_loss": 0.05701206624507904,
886
+ "teacher_loss": 0.02054421976208687
887
+ },
888
+ {
889
+ "epoch": 0.10666666666666667,
890
+ "grad_norm": 1.6171875,
891
+ "kd_loss": 0.010782319121062756,
892
+ "learning_rate": 8.825591956211614e-06,
893
+ "loss": 0.114,
894
+ "recon_loss": 1.5270192623138428,
895
+ "recon_trunc": 0.0,
896
+ "step": 370,
897
+ "student_loss": 0.009973138570785522,
898
+ "teacher_loss": 0.010867908596992493
899
+ },
900
+ {
901
+ "epoch": 0.10810810810810811,
902
+ "grad_norm": 2.609375,
903
+ "kd_loss": 0.023110082373023033,
904
+ "learning_rate": 8.790613014064371e-06,
905
+ "loss": 0.128,
906
+ "recon_loss": 1.2032126188278198,
907
+ "recon_trunc": 0.0,
908
+ "step": 375,
909
+ "student_loss": 0.02264533005654812,
910
+ "teacher_loss": 0.0033990642987191677
911
+ },
912
+ {
913
+ "epoch": 0.10954954954954955,
914
+ "grad_norm": 2.015625,
915
+ "kd_loss": 0.02052084170281887,
916
+ "learning_rate": 8.755192278746e-06,
917
+ "loss": 0.1281,
918
+ "recon_loss": 1.5262211561203003,
919
+ "recon_trunc": 0.0,
920
+ "step": 380,
921
+ "student_loss": 0.1342981606721878,
922
+ "teacher_loss": 0.11457706987857819
923
+ },
924
+ {
925
+ "epoch": 0.110990990990991,
926
+ "grad_norm": 2.1875,
927
+ "kd_loss": 0.01637507975101471,
928
+ "learning_rate": 8.719333878517274e-06,
929
+ "loss": 0.1278,
930
+ "recon_loss": 1.517993688583374,
931
+ "recon_trunc": 0.0,
932
+ "step": 385,
933
+ "student_loss": 0.003994242288172245,
934
+ "teacher_loss": 0.003780895145609975
935
+ },
936
+ {
937
+ "epoch": 0.11243243243243244,
938
+ "grad_norm": 3.125,
939
+ "kd_loss": 0.01132834143936634,
940
+ "learning_rate": 8.683041992648474e-06,
941
+ "loss": 0.1264,
942
+ "recon_loss": 0.751715898513794,
943
+ "recon_trunc": 0.0,
944
+ "step": 390,
945
+ "student_loss": 0.00670157466083765,
946
+ "teacher_loss": 0.005965149030089378
947
+ },
948
+ {
949
+ "epoch": 0.11387387387387388,
950
+ "grad_norm": 2.125,
951
+ "kd_loss": 0.028760867193341255,
952
+ "learning_rate": 8.646320850932326e-06,
953
+ "loss": 0.1065,
954
+ "recon_loss": 0.6950639486312866,
955
+ "recon_trunc": 0.0,
956
+ "step": 395,
957
+ "student_loss": 0.02178291417658329,
958
+ "teacher_loss": 0.003591229673475027
959
+ },
960
+ {
961
+ "epoch": 0.11531531531531532,
962
+ "grad_norm": 1.734375,
963
+ "kd_loss": 0.022613229230046272,
964
+ "learning_rate": 8.609174733191012e-06,
965
+ "loss": 0.1199,
966
+ "recon_loss": 2.425037145614624,
967
+ "recon_trunc": 0.0,
968
+ "step": 400,
969
+ "student_loss": 0.03343844413757324,
970
+ "teacher_loss": 0.03374646604061127
971
+ },
972
+ {
973
+ "epoch": 0.11675675675675676,
974
+ "grad_norm": 2.46875,
975
+ "kd_loss": 0.008865836076438427,
976
+ "learning_rate": 8.571607968777349e-06,
977
+ "loss": 0.1292,
978
+ "recon_loss": 1.5487998723983765,
979
+ "recon_trunc": 0.0,
980
+ "step": 405,
981
+ "student_loss": 0.08472836017608643,
982
+ "teacher_loss": 0.08174186944961548
983
+ },
984
+ {
985
+ "epoch": 0.1181981981981982,
986
+ "grad_norm": 2.3125,
987
+ "kd_loss": 0.02681361325085163,
988
+ "learning_rate": 8.533624936070225e-06,
989
+ "loss": 0.1081,
990
+ "recon_loss": 1.6724849939346313,
991
+ "recon_trunc": 0.0,
992
+ "step": 410,
993
+ "student_loss": 0.05861333757638931,
994
+ "teacher_loss": 0.028042757883667946
995
+ },
996
+ {
997
+ "epoch": 0.11963963963963964,
998
+ "grad_norm": 1.8203125,
999
+ "kd_loss": 0.011062159202992916,
1000
+ "learning_rate": 8.495230061964289e-06,
1001
+ "loss": 0.1142,
1002
+ "recon_loss": 0.9828051328659058,
1003
+ "recon_trunc": 0.0,
1004
+ "step": 415,
1005
+ "student_loss": 0.021241258829832077,
1006
+ "teacher_loss": 0.01005750522017479
1007
+ },
1008
+ {
1009
+ "epoch": 0.12108108108108108,
1010
+ "grad_norm": 2.265625,
1011
+ "kd_loss": 0.016577551141381264,
1012
+ "learning_rate": 8.456427821354001e-06,
1013
+ "loss": 0.1154,
1014
+ "recon_loss": 0.7684392929077148,
1015
+ "recon_trunc": 0.0,
1016
+ "step": 420,
1017
+ "student_loss": 0.008126895874738693,
1018
+ "teacher_loss": 0.0070959595032036304
1019
+ },
1020
+ {
1021
+ "epoch": 0.12252252252252252,
1022
+ "grad_norm": 2.171875,
1023
+ "kd_loss": 0.01684112846851349,
1024
+ "learning_rate": 8.417222736612092e-06,
1025
+ "loss": 0.1155,
1026
+ "recon_loss": 2.551865339279175,
1027
+ "recon_trunc": 0.0,
1028
+ "step": 425,
1029
+ "student_loss": 0.029610300436615944,
1030
+ "teacher_loss": 0.029854409396648407
1031
+ },
1032
+ {
1033
+ "epoch": 0.12396396396396396,
1034
+ "grad_norm": 2.5,
1035
+ "kd_loss": 0.021863555535674095,
1036
+ "learning_rate": 8.377619377062483e-06,
1037
+ "loss": 0.1125,
1038
+ "recon_loss": 0.8800704479217529,
1039
+ "recon_trunc": 0.0,
1040
+ "step": 430,
1041
+ "student_loss": 0.006858013104647398,
1042
+ "teacher_loss": 0.0050558242946863174
1043
+ },
1044
+ {
1045
+ "epoch": 0.1254054054054054,
1046
+ "grad_norm": 2.109375,
1047
+ "kd_loss": 0.025641009211540222,
1048
+ "learning_rate": 8.337622358447728e-06,
1049
+ "loss": 0.11,
1050
+ "recon_loss": 1.5023645162582397,
1051
+ "recon_trunc": 0.0,
1052
+ "step": 435,
1053
+ "student_loss": 0.05605771392583847,
1054
+ "teacher_loss": 0.05006556212902069
1055
+ },
1056
+ {
1057
+ "epoch": 0.12684684684684686,
1058
+ "grad_norm": 2.4375,
1059
+ "kd_loss": 0.016024881973862648,
1060
+ "learning_rate": 8.29723634239106e-06,
1061
+ "loss": 0.1123,
1062
+ "recon_loss": 1.9361077547073364,
1063
+ "recon_trunc": 0.0,
1064
+ "step": 440,
1065
+ "student_loss": 0.005403150338679552,
1066
+ "teacher_loss": 0.003332361578941345
1067
+ },
1068
+ {
1069
+ "epoch": 0.12828828828828828,
1070
+ "grad_norm": 3.125,
1071
+ "kd_loss": 0.023422684520483017,
1072
+ "learning_rate": 8.256466035853077e-06,
1073
+ "loss": 0.1125,
1074
+ "recon_loss": 1.2101949453353882,
1075
+ "recon_trunc": 0.0,
1076
+ "step": 445,
1077
+ "student_loss": 0.009501632302999496,
1078
+ "teacher_loss": 0.004478491377085447
1079
+ },
1080
+ {
1081
+ "epoch": 0.12972972972972974,
1082
+ "grad_norm": 3.078125,
1083
+ "kd_loss": 0.02115996554493904,
1084
+ "learning_rate": 8.215316190583153e-06,
1085
+ "loss": 0.1223,
1086
+ "recon_loss": 0.6691838502883911,
1087
+ "recon_trunc": 0.0,
1088
+ "step": 450,
1089
+ "student_loss": 0.018543338403105736,
1090
+ "teacher_loss": 0.018817907199263573
1091
+ },
1092
+ {
1093
+ "epoch": 0.13117117117117116,
1094
+ "grad_norm": 1.7421875,
1095
+ "kd_loss": 0.011057443916797638,
1096
+ "learning_rate": 8.173791602565622e-06,
1097
+ "loss": 0.1278,
1098
+ "recon_loss": 2.2723820209503174,
1099
+ "recon_trunc": 0.0,
1100
+ "step": 455,
1101
+ "student_loss": 0.009742753580212593,
1102
+ "teacher_loss": 0.01030263677239418
1103
+ },
1104
+ {
1105
+ "epoch": 0.13261261261261262,
1106
+ "grad_norm": 1.734375,
1107
+ "kd_loss": 0.009716923348605633,
1108
+ "learning_rate": 8.13189711146081e-06,
1109
+ "loss": 0.1068,
1110
+ "recon_loss": 1.779807448387146,
1111
+ "recon_trunc": 0.0,
1112
+ "step": 460,
1113
+ "student_loss": 0.005108564160764217,
1114
+ "teacher_loss": 0.00407342379912734
1115
+ },
1116
+ {
1117
+ "epoch": 0.13405405405405404,
1118
+ "grad_norm": 2.5625,
1119
+ "kd_loss": 0.03107694536447525,
1120
+ "learning_rate": 8.08963760004098e-06,
1121
+ "loss": 0.1273,
1122
+ "recon_loss": 2.5726194381713867,
1123
+ "recon_trunc": 0.0,
1124
+ "step": 465,
1125
+ "student_loss": 0.056230369955301285,
1126
+ "teacher_loss": 0.04770596697926521
1127
+ },
1128
+ {
1129
+ "epoch": 0.1354954954954955,
1130
+ "grad_norm": 2.421875,
1131
+ "kd_loss": 0.01239880919456482,
1132
+ "learning_rate": 8.047017993621242e-06,
1133
+ "loss": 0.1193,
1134
+ "recon_loss": 1.7926909923553467,
1135
+ "recon_trunc": 0.0,
1136
+ "step": 470,
1137
+ "student_loss": 0.0654020830988884,
1138
+ "teacher_loss": 0.06957650929689407
1139
+ },
1140
+ {
1141
+ "epoch": 0.13693693693693693,
1142
+ "grad_norm": 2.453125,
1143
+ "kd_loss": 0.015770934522151947,
1144
+ "learning_rate": 8.004043259485519e-06,
1145
+ "loss": 0.1142,
1146
+ "recon_loss": 1.5135294198989868,
1147
+ "recon_trunc": 0.0,
1148
+ "step": 475,
1149
+ "student_loss": 0.017355499789118767,
1150
+ "teacher_loss": 0.014955965802073479
1151
+ },
1152
+ {
1153
+ "epoch": 0.13837837837837838,
1154
+ "grad_norm": 2.875,
1155
+ "kd_loss": 0.03178933635354042,
1156
+ "learning_rate": 7.960718406307602e-06,
1157
+ "loss": 0.1184,
1158
+ "recon_loss": 1.991554856300354,
1159
+ "recon_trunc": 0.1666666716337204,
1160
+ "step": 480,
1161
+ "student_loss": 0.033552687615156174,
1162
+ "teacher_loss": 0.06758459657430649
1163
+ },
1164
+ {
1165
+ "epoch": 0.1398198198198198,
1166
+ "grad_norm": 3.4375,
1167
+ "kd_loss": 0.016763880848884583,
1168
+ "learning_rate": 7.917048483567408e-06,
1169
+ "loss": 0.1147,
1170
+ "recon_loss": 3.2356066703796387,
1171
+ "recon_trunc": 0.0,
1172
+ "step": 485,
1173
+ "student_loss": 0.02738153003156185,
1174
+ "teacher_loss": 0.008060683496296406
1175
+ },
1176
+ {
1177
+ "epoch": 0.14126126126126126,
1178
+ "grad_norm": 2.140625,
1179
+ "kd_loss": 0.016219064593315125,
1180
+ "learning_rate": 7.873038580962453e-06,
1181
+ "loss": 0.1159,
1182
+ "recon_loss": 1.9894565343856812,
1183
+ "recon_trunc": 0.0,
1184
+ "step": 490,
1185
+ "student_loss": 0.02026814967393875,
1186
+ "teacher_loss": 0.022603487595915794
1187
+ },
1188
+ {
1189
+ "epoch": 0.14270270270270272,
1190
+ "grad_norm": 1.9765625,
1191
+ "kd_loss": 0.02329091913998127,
1192
+ "learning_rate": 7.828693827814662e-06,
1193
+ "loss": 0.1082,
1194
+ "recon_loss": 1.8104088306427002,
1195
+ "recon_trunc": 0.0,
1196
+ "step": 495,
1197
+ "student_loss": 0.041161973029375076,
1198
+ "teacher_loss": 0.010950487107038498
1199
+ },
1200
+ {
1201
+ "epoch": 0.14414414414414414,
1202
+ "grad_norm": 1.7578125,
1203
+ "kd_loss": 0.012948920950293541,
1204
+ "learning_rate": 7.784019392472539e-06,
1205
+ "loss": 0.1177,
1206
+ "recon_loss": 1.9585274457931519,
1207
+ "recon_trunc": 0.0,
1208
+ "step": 500,
1209
+ "student_loss": 0.005330843850970268,
1210
+ "teacher_loss": 0.004721441306173801
1211
+ },
1212
+ {
1213
+ "epoch": 0.1455855855855856,
1214
+ "grad_norm": 1.7890625,
1215
+ "kd_loss": 0.01527533121407032,
1216
+ "learning_rate": 7.739020481708816e-06,
1217
+ "loss": 0.1096,
1218
+ "recon_loss": 1.361791729927063,
1219
+ "recon_trunc": 0.0,
1220
+ "step": 505,
1221
+ "student_loss": 0.030247874557971954,
1222
+ "teacher_loss": 0.0125796003267169
1223
+ },
1224
+ {
1225
+ "epoch": 0.14702702702702702,
1226
+ "grad_norm": 2.15625,
1227
+ "kd_loss": 0.018237337470054626,
1228
+ "learning_rate": 7.693702340113587e-06,
1229
+ "loss": 0.099,
1230
+ "recon_loss": 2.694063425064087,
1231
+ "recon_trunc": 0.0,
1232
+ "step": 510,
1233
+ "student_loss": 0.004448129795491695,
1234
+ "teacher_loss": 0.005566176027059555
1235
+ },
1236
+ {
1237
+ "epoch": 0.14846846846846848,
1238
+ "grad_norm": 2.15625,
1239
+ "kd_loss": 0.01716817170381546,
1240
+ "learning_rate": 7.648070249483074e-06,
1241
+ "loss": 0.1057,
1242
+ "recon_loss": 2.4092276096343994,
1243
+ "recon_trunc": 0.0,
1244
+ "step": 515,
1245
+ "student_loss": 0.01954336278140545,
1246
+ "teacher_loss": 0.01161402091383934
1247
+ },
1248
+ {
1249
+ "epoch": 0.1499099099099099,
1250
+ "grad_norm": 1.859375,
1251
+ "kd_loss": 0.013520020060241222,
1252
+ "learning_rate": 7.602129528204023e-06,
1253
+ "loss": 0.1002,
1254
+ "recon_loss": 2.7109413146972656,
1255
+ "recon_trunc": 0.0,
1256
+ "step": 520,
1257
+ "student_loss": 0.007106412667781115,
1258
+ "teacher_loss": 0.0036226226948201656
1259
+ },
1260
+ {
1261
+ "epoch": 0.15135135135135136,
1262
+ "grad_norm": 2.125,
1263
+ "kd_loss": 0.0283492524176836,
1264
+ "learning_rate": 7.555885530633864e-06,
1265
+ "loss": 0.1057,
1266
+ "recon_loss": 1.030029296875,
1267
+ "recon_trunc": 0.0,
1268
+ "step": 525,
1269
+ "student_loss": 0.014120209962129593,
1270
+ "teacher_loss": 0.007666388060897589
1271
+ },
1272
+ {
1273
+ "epoch": 0.1527927927927928,
1274
+ "grad_norm": 3.21875,
1275
+ "kd_loss": 0.012168077751994133,
1276
+ "learning_rate": 7.509343646476647e-06,
1277
+ "loss": 0.1097,
1278
+ "recon_loss": 2.056184768676758,
1279
+ "recon_trunc": 0.0,
1280
+ "step": 530,
1281
+ "student_loss": 0.10587294399738312,
1282
+ "teacher_loss": 0.06957944482564926
1283
+ },
1284
+ {
1285
+ "epoch": 0.15423423423423424,
1286
+ "grad_norm": 2.109375,
1287
+ "kd_loss": 0.017548369243741035,
1288
+ "learning_rate": 7.462509300154892e-06,
1289
+ "loss": 0.1103,
1290
+ "recon_loss": 1.127314805984497,
1291
+ "recon_trunc": 0.0,
1292
+ "step": 535,
1293
+ "student_loss": 0.01272011548280716,
1294
+ "teacher_loss": 0.030406273901462555
1295
+ },
1296
+ {
1297
+ "epoch": 0.15567567567567567,
1298
+ "grad_norm": 2.3125,
1299
+ "kd_loss": 0.010825314559042454,
1300
+ "learning_rate": 7.415387950177369e-06,
1301
+ "loss": 0.0912,
1302
+ "recon_loss": 0.7348822355270386,
1303
+ "recon_trunc": 0.0,
1304
+ "step": 540,
1305
+ "student_loss": 0.005687657278031111,
1306
+ "teacher_loss": 0.004439381416887045
1307
+ },
1308
+ {
1309
+ "epoch": 0.15711711711711712,
1310
+ "grad_norm": 1.5546875,
1311
+ "kd_loss": 0.028425579890608788,
1312
+ "learning_rate": 7.367985088502914e-06,
1313
+ "loss": 0.1013,
1314
+ "recon_loss": 1.6967211961746216,
1315
+ "recon_trunc": 0.0,
1316
+ "step": 545,
1317
+ "student_loss": 0.032522182911634445,
1318
+ "teacher_loss": 0.03722462058067322
1319
+ },
1320
+ {
1321
+ "epoch": 0.15855855855855855,
1322
+ "grad_norm": 1.8046875,
1323
+ "kd_loss": 0.02775968424975872,
1324
+ "learning_rate": 7.320306239900343e-06,
1325
+ "loss": 0.1108,
1326
+ "recon_loss": 1.2605125904083252,
1327
+ "recon_trunc": 0.0,
1328
+ "step": 550,
1329
+ "student_loss": 0.029979035258293152,
1330
+ "teacher_loss": 0.020589159801602364
1331
+ },
1332
+ {
1333
+ "epoch": 0.16,
1334
+ "grad_norm": 2.15625,
1335
+ "kd_loss": 0.012850400060415268,
1336
+ "learning_rate": 7.27235696130455e-06,
1337
+ "loss": 0.0939,
1338
+ "recon_loss": 0.8966094255447388,
1339
+ "recon_trunc": 0.0,
1340
+ "step": 555,
1341
+ "student_loss": 0.0039372630417346954,
1342
+ "teacher_loss": 0.00253364653326571
1343
+ },
1344
+ {
1345
+ "epoch": 0.16144144144144143,
1346
+ "grad_norm": 3.984375,
1347
+ "kd_loss": 0.01984316296875477,
1348
+ "learning_rate": 7.2241428411688415e-06,
1349
+ "loss": 0.1201,
1350
+ "recon_loss": 0.6383526921272278,
1351
+ "recon_trunc": 0.0,
1352
+ "step": 560,
1353
+ "student_loss": 0.013905559666454792,
1354
+ "teacher_loss": 0.011228952556848526
1355
+ },
1356
+ {
1357
+ "epoch": 0.16288288288288288,
1358
+ "grad_norm": 2.03125,
1359
+ "kd_loss": 0.014146905392408371,
1360
+ "learning_rate": 7.1756694988136165e-06,
1361
+ "loss": 0.1169,
1362
+ "recon_loss": 0.9294888377189636,
1363
+ "recon_trunc": 0.0,
1364
+ "step": 565,
1365
+ "student_loss": 0.004254485014826059,
1366
+ "teacher_loss": 0.007349506486207247
1367
+ },
1368
+ {
1369
+ "epoch": 0.1643243243243243,
1370
+ "grad_norm": 1.984375,
1371
+ "kd_loss": 0.01966790296137333,
1372
+ "learning_rate": 7.126942583771433e-06,
1373
+ "loss": 0.1011,
1374
+ "recon_loss": 1.405023455619812,
1375
+ "recon_trunc": 0.0,
1376
+ "step": 570,
1377
+ "student_loss": 0.032598767429590225,
1378
+ "teacher_loss": 0.017219817265868187
1379
+ },
1380
+ {
1381
+ "epoch": 0.16576576576576577,
1382
+ "grad_norm": 2.6875,
1383
+ "kd_loss": 0.009513165801763535,
1384
+ "learning_rate": 7.077967775128558e-06,
1385
+ "loss": 0.1139,
1386
+ "recon_loss": 1.7493226528167725,
1387
+ "recon_trunc": 0.0,
1388
+ "step": 575,
1389
+ "student_loss": 0.0040468815714120865,
1390
+ "teacher_loss": 0.004172624088823795
1391
+ },
1392
+ {
1393
+ "epoch": 0.16720720720720722,
1394
+ "grad_norm": 3.75,
1395
+ "kd_loss": 0.020738841965794563,
1396
+ "learning_rate": 7.028750780863078e-06,
1397
+ "loss": 0.1032,
1398
+ "recon_loss": 0.6202591061592102,
1399
+ "recon_trunc": 0.0,
1400
+ "step": 580,
1401
+ "student_loss": 0.011248578317463398,
1402
+ "teacher_loss": 0.010976684279739857
1403
+ },
1404
+ {
1405
+ "epoch": 0.16864864864864865,
1406
+ "grad_norm": 2.3125,
1407
+ "kd_loss": 0.025385674089193344,
1408
+ "learning_rate": 6.979297337179632e-06,
1409
+ "loss": 0.1025,
1410
+ "recon_loss": 1.0138957500457764,
1411
+ "recon_trunc": 0.0,
1412
+ "step": 585,
1413
+ "student_loss": 0.028503064066171646,
1414
+ "teacher_loss": 0.010264373384416103
1415
+ },
1416
+ {
1417
+ "epoch": 0.1700900900900901,
1418
+ "grad_norm": 1.8671875,
1419
+ "kd_loss": 0.0301853995770216,
1420
+ "learning_rate": 6.929613207840875e-06,
1421
+ "loss": 0.1018,
1422
+ "recon_loss": 0.6474505066871643,
1423
+ "recon_trunc": 0.13636364042758942,
1424
+ "step": 590,
1425
+ "student_loss": 0.008808792568743229,
1426
+ "teacher_loss": 0.004761975258588791
1427
+ },
1428
+ {
1429
+ "epoch": 0.17153153153153153,
1430
+ "grad_norm": 2.78125,
1431
+ "kd_loss": 0.01562667265534401,
1432
+ "learning_rate": 6.8797041834956955e-06,
1433
+ "loss": 0.1024,
1434
+ "recon_loss": 0.8219525814056396,
1435
+ "recon_trunc": 0.0,
1436
+ "step": 595,
1437
+ "student_loss": 0.00366596900857985,
1438
+ "teacher_loss": 0.002013420220464468
1439
+ },
1440
+ {
1441
+ "epoch": 0.17297297297297298,
1442
+ "grad_norm": 2.359375,
1443
+ "kd_loss": 0.019215423613786697,
1444
+ "learning_rate": 6.829576081004339e-06,
1445
+ "loss": 0.0961,
1446
+ "recon_loss": 0.6283009648323059,
1447
+ "recon_trunc": 0.0,
1448
+ "step": 600,
1449
+ "student_loss": 0.02321065217256546,
1450
+ "teacher_loss": 0.022313382476568222
1451
+ },
1452
+ {
1453
+ "epoch": 0.1744144144144144,
1454
+ "grad_norm": 2.078125,
1455
+ "kd_loss": 0.014276467263698578,
1456
+ "learning_rate": 6.779234742760441e-06,
1457
+ "loss": 0.0951,
1458
+ "recon_loss": 0.869193434715271,
1459
+ "recon_trunc": 0.0,
1460
+ "step": 605,
1461
+ "student_loss": 0.004768861923366785,
1462
+ "teacher_loss": 0.0027686513494700193
1463
+ },
1464
+ {
1465
+ "epoch": 0.17585585585585586,
1466
+ "grad_norm": 6.5,
1467
+ "kd_loss": 0.011466795578598976,
1468
+ "learning_rate": 6.728686036010115e-06,
1469
+ "loss": 0.0968,
1470
+ "recon_loss": 1.282074213027954,
1471
+ "recon_trunc": 0.0,
1472
+ "step": 610,
1473
+ "student_loss": 0.003399502718821168,
1474
+ "teacher_loss": 0.002284495159983635
1475
+ },
1476
+ {
1477
+ "epoch": 0.1772972972972973,
1478
+ "grad_norm": 2.46875,
1479
+ "kd_loss": 0.019078882411122322,
1480
+ "learning_rate": 6.677935852168116e-06,
1481
+ "loss": 0.0894,
1482
+ "recon_loss": 0.6419486403465271,
1483
+ "recon_trunc": 0.0,
1484
+ "step": 615,
1485
+ "student_loss": 0.012190327048301697,
1486
+ "teacher_loss": 0.0023125908337533474
1487
+ },
1488
+ {
1489
+ "epoch": 0.17873873873873874,
1490
+ "grad_norm": 1.8515625,
1491
+ "kd_loss": 0.027036365121603012,
1492
+ "learning_rate": 6.62699010613121e-06,
1493
+ "loss": 0.0996,
1494
+ "recon_loss": 0.874606192111969,
1495
+ "recon_trunc": 0.0,
1496
+ "step": 620,
1497
+ "student_loss": 0.0224213395267725,
1498
+ "teacher_loss": 0.013729802332818508
1499
+ },
1500
+ {
1501
+ "epoch": 0.18018018018018017,
1502
+ "grad_norm": 3.328125,
1503
+ "kd_loss": 0.007798908744007349,
1504
+ "learning_rate": 6.5758547355887944e-06,
1505
+ "loss": 0.0907,
1506
+ "recon_loss": 2.5433475971221924,
1507
+ "recon_trunc": 0.0,
1508
+ "step": 625,
1509
+ "student_loss": 0.011145239695906639,
1510
+ "teacher_loss": 0.014219601638615131
1511
+ },
1512
+ {
1513
+ "epoch": 0.18162162162162163,
1514
+ "grad_norm": 2.375,
1515
+ "kd_loss": 0.016567589715123177,
1516
+ "learning_rate": 6.524535700330858e-06,
1517
+ "loss": 0.1001,
1518
+ "recon_loss": 1.1229078769683838,
1519
+ "recon_trunc": 0.0,
1520
+ "step": 630,
1521
+ "student_loss": 0.06187977269291878,
1522
+ "teacher_loss": 0.05378362536430359
1523
+ },
1524
+ {
1525
+ "epoch": 0.18306306306306305,
1526
+ "grad_norm": 1.6875,
1527
+ "kd_loss": 0.02085557021200657,
1528
+ "learning_rate": 6.4730389815533865e-06,
1529
+ "loss": 0.0899,
1530
+ "recon_loss": 1.187085509300232,
1531
+ "recon_trunc": 0.0,
1532
+ "step": 635,
1533
+ "student_loss": 0.00996415875852108,
1534
+ "teacher_loss": 0.006535361520946026
1535
+ },
1536
+ {
1537
+ "epoch": 0.1845045045045045,
1538
+ "grad_norm": 2.46875,
1539
+ "kd_loss": 0.014909463934600353,
1540
+ "learning_rate": 6.421370581161244e-06,
1541
+ "loss": 0.0929,
1542
+ "recon_loss": 0.9069868326187134,
1543
+ "recon_trunc": 0.0,
1544
+ "step": 640,
1545
+ "student_loss": 0.019701724871993065,
1546
+ "teacher_loss": 0.012945645488798618
1547
+ },
1548
+ {
1549
+ "epoch": 0.18594594594594593,
1550
+ "grad_norm": 2.375,
1551
+ "kd_loss": 0.01683386042714119,
1552
+ "learning_rate": 6.36953652106866e-06,
1553
+ "loss": 0.1082,
1554
+ "recon_loss": 0.494709312915802,
1555
+ "recon_trunc": 0.0,
1556
+ "step": 645,
1557
+ "student_loss": 0.014453653246164322,
1558
+ "teacher_loss": 0.010388009250164032
1559
+ },
1560
+ {
1561
+ "epoch": 0.1873873873873874,
1562
+ "grad_norm": 1.9453125,
1563
+ "kd_loss": 0.0196087509393692,
1564
+ "learning_rate": 6.317542842497384e-06,
1565
+ "loss": 0.0994,
1566
+ "recon_loss": 0.6906006336212158,
1567
+ "recon_trunc": 0.0,
1568
+ "step": 650,
1569
+ "student_loss": 0.010469207540154457,
1570
+ "teacher_loss": 0.015019979327917099
1571
+ },
1572
+ {
1573
+ "epoch": 0.18882882882882882,
1574
+ "grad_norm": 1.8046875,
1575
+ "kd_loss": 0.022767694666981697,
1576
+ "learning_rate": 6.265395605272581e-06,
1577
+ "loss": 0.093,
1578
+ "recon_loss": 0.925295352935791,
1579
+ "recon_trunc": 0.0,
1580
+ "step": 655,
1581
+ "student_loss": 0.016291920095682144,
1582
+ "teacher_loss": 0.012215238064527512
1583
+ },
1584
+ {
1585
+ "epoch": 0.19027027027027027,
1586
+ "grad_norm": 1.84375,
1587
+ "kd_loss": 0.014528779312968254,
1588
+ "learning_rate": 6.213100887116568e-06,
1589
+ "loss": 0.1007,
1590
+ "recon_loss": 0.7675014734268188,
1591
+ "recon_trunc": 0.0,
1592
+ "step": 660,
1593
+ "student_loss": 0.028876151889562607,
1594
+ "teacher_loss": 0.020355725660920143
1595
+ },
1596
+ {
1597
+ "epoch": 0.19171171171171172,
1598
+ "grad_norm": 2.3125,
1599
+ "kd_loss": 0.013471566140651703,
1600
+ "learning_rate": 6.1606647829404485e-06,
1601
+ "loss": 0.0975,
1602
+ "recon_loss": 0.9562106728553772,
1603
+ "recon_trunc": 0.0,
1604
+ "step": 665,
1605
+ "student_loss": 0.0036644593346863985,
1606
+ "teacher_loss": 0.0021427099127322435
1607
+ },
1608
+ {
1609
+ "epoch": 0.19315315315315315,
1610
+ "grad_norm": 1.9765625,
1611
+ "kd_loss": 0.0173123087733984,
1612
+ "learning_rate": 6.108093404133772e-06,
1613
+ "loss": 0.1091,
1614
+ "recon_loss": 1.563036322593689,
1615
+ "recon_trunc": 0.0,
1616
+ "step": 670,
1617
+ "student_loss": 0.0046034688130021095,
1618
+ "teacher_loss": 0.010668099857866764
1619
+ },
1620
+ {
1621
+ "epoch": 0.1945945945945946,
1622
+ "grad_norm": 1.921875,
1623
+ "kd_loss": 0.020700708031654358,
1624
+ "learning_rate": 6.0553928778522405e-06,
1625
+ "loss": 0.1068,
1626
+ "recon_loss": 1.0824533700942993,
1627
+ "recon_trunc": 0.0,
1628
+ "step": 675,
1629
+ "student_loss": 0.020477328449487686,
1630
+ "teacher_loss": 0.01928558386862278
1631
+ },
1632
+ {
1633
+ "epoch": 0.19603603603603603,
1634
+ "grad_norm": 3.140625,
1635
+ "kd_loss": 0.011443321593105793,
1636
+ "learning_rate": 6.002569346303605e-06,
1637
+ "loss": 0.119,
1638
+ "recon_loss": 0.7971557378768921,
1639
+ "recon_trunc": 0.0,
1640
+ "step": 680,
1641
+ "student_loss": 0.0038715738337486982,
1642
+ "teacher_loss": 0.009752260521054268
1643
+ },
1644
+ {
1645
+ "epoch": 0.1974774774774775,
1646
+ "grad_norm": 2.1875,
1647
+ "kd_loss": 0.01789681799709797,
1648
+ "learning_rate": 5.949628966031785e-06,
1649
+ "loss": 0.0982,
1650
+ "recon_loss": 1.0170581340789795,
1651
+ "recon_trunc": 0.0,
1652
+ "step": 685,
1653
+ "student_loss": 0.011738591827452183,
1654
+ "teacher_loss": 0.003596890950575471
1655
+ },
1656
+ {
1657
+ "epoch": 0.1989189189189189,
1658
+ "grad_norm": 1.515625,
1659
+ "kd_loss": 0.010234168730676174,
1660
+ "learning_rate": 5.8965779071993365e-06,
1661
+ "loss": 0.0989,
1662
+ "recon_loss": 1.3678561449050903,
1663
+ "recon_trunc": 0.0,
1664
+ "step": 690,
1665
+ "student_loss": 0.04748813807964325,
1666
+ "teacher_loss": 0.0339285247027874
1667
+ },
1668
+ {
1669
+ "epoch": 0.20036036036036037,
1670
+ "grad_norm": 1.28125,
1671
+ "kd_loss": 0.008595343679189682,
1672
+ "learning_rate": 5.843422352868321e-06,
1673
+ "loss": 0.0935,
1674
+ "recon_loss": 2.8541831970214844,
1675
+ "recon_trunc": 0.0,
1676
+ "step": 695,
1677
+ "student_loss": 0.0029857722111046314,
1678
+ "teacher_loss": 0.0022341967560350895
1679
+ },
1680
+ {
1681
+ "epoch": 0.2018018018018018,
1682
+ "grad_norm": 2.203125,
1683
+ "kd_loss": 0.010823438875377178,
1684
+ "learning_rate": 5.7901684982796716e-06,
1685
+ "loss": 0.0968,
1686
+ "recon_loss": 1.351580262184143,
1687
+ "recon_trunc": 0.0,
1688
+ "step": 700,
1689
+ "student_loss": 0.07310483604669571,
1690
+ "teacher_loss": 0.050734903663396835
1691
+ },
1692
+ {
1693
+ "epoch": 0.20324324324324325,
1694
+ "grad_norm": 1.9375,
1695
+ "kd_loss": 0.013946866616606712,
1696
+ "learning_rate": 5.736822550131147e-06,
1697
+ "loss": 0.0949,
1698
+ "recon_loss": 1.0093135833740234,
1699
+ "recon_trunc": 0.0,
1700
+ "step": 705,
1701
+ "student_loss": 0.027368871495127678,
1702
+ "teacher_loss": 0.04656485840678215
1703
+ },
1704
+ {
1705
+ "epoch": 0.20468468468468468,
1706
+ "grad_norm": 2.0,
1707
+ "kd_loss": 0.017323924228549004,
1708
+ "learning_rate": 5.68339072585394e-06,
1709
+ "loss": 0.0892,
1710
+ "recon_loss": 0.7244986295700073,
1711
+ "recon_trunc": 0.0,
1712
+ "step": 710,
1713
+ "student_loss": 0.04973391443490982,
1714
+ "teacher_loss": 0.04366318881511688
1715
+ },
1716
+ {
1717
+ "epoch": 0.20612612612612613,
1718
+ "grad_norm": 1.890625,
1719
+ "kd_loss": 0.007980936206877232,
1720
+ "learning_rate": 5.629879252888046e-06,
1721
+ "loss": 0.0892,
1722
+ "recon_loss": 0.8430204391479492,
1723
+ "recon_trunc": 0.0,
1724
+ "step": 715,
1725
+ "student_loss": 0.003929371479898691,
1726
+ "teacher_loss": 0.0031223194673657417
1727
+ },
1728
+ {
1729
+ "epoch": 0.20756756756756756,
1730
+ "grad_norm": 1.8671875,
1731
+ "kd_loss": 0.009112298488616943,
1732
+ "learning_rate": 5.576294367956455e-06,
1733
+ "loss": 0.0955,
1734
+ "recon_loss": 0.8602954149246216,
1735
+ "recon_trunc": 0.0,
1736
+ "step": 720,
1737
+ "student_loss": 0.002911132061854005,
1738
+ "teacher_loss": 0.002563533838838339
1739
+ },
1740
+ {
1741
+ "epoch": 0.209009009009009,
1742
+ "grad_norm": 2.609375,
1743
+ "kd_loss": 0.0065227169543504715,
1744
+ "learning_rate": 5.522642316338268e-06,
1745
+ "loss": 0.1006,
1746
+ "recon_loss": 0.4496604800224304,
1747
+ "recon_trunc": 0.0,
1748
+ "step": 725,
1749
+ "student_loss": 0.004659323953092098,
1750
+ "teacher_loss": 0.004054300021380186
1751
+ },
1752
+ {
1753
+ "epoch": 0.21045045045045044,
1754
+ "grad_norm": 2.765625,
1755
+ "kd_loss": 0.013251368887722492,
1756
+ "learning_rate": 5.4689293511408155e-06,
1757
+ "loss": 0.1024,
1758
+ "recon_loss": 1.2096127271652222,
1759
+ "recon_trunc": 0.0,
1760
+ "step": 730,
1761
+ "student_loss": 0.006948236376047134,
1762
+ "teacher_loss": 0.007843713276088238
1763
+ },
1764
+ {
1765
+ "epoch": 0.2118918918918919,
1766
+ "grad_norm": 2.015625,
1767
+ "kd_loss": 0.013089313171803951,
1768
+ "learning_rate": 5.4151617325708595e-06,
1769
+ "loss": 0.098,
1770
+ "recon_loss": 1.2019041776657104,
1771
+ "recon_trunc": 0.0,
1772
+ "step": 735,
1773
+ "student_loss": 0.040870193392038345,
1774
+ "teacher_loss": 0.027125149965286255
1775
+ },
1776
+ {
1777
+ "epoch": 0.21333333333333335,
1778
+ "grad_norm": 1.71875,
1779
+ "kd_loss": 0.02157880924642086,
1780
+ "learning_rate": 5.361345727204972e-06,
1781
+ "loss": 0.1027,
1782
+ "recon_loss": 1.120439052581787,
1783
+ "recon_trunc": 0.02857142873108387,
1784
+ "step": 740,
1785
+ "student_loss": 0.06317839026451111,
1786
+ "teacher_loss": 0.03955307975411415
1787
+ },
1788
+ {
1789
+ "epoch": 0.21477477477477477,
1790
+ "grad_norm": 2.5,
1791
+ "kd_loss": 0.009251553565263748,
1792
+ "learning_rate": 5.307487607259175e-06,
1793
+ "loss": 0.101,
1794
+ "recon_loss": 1.1851692199707031,
1795
+ "recon_trunc": 0.0,
1796
+ "step": 745,
1797
+ "student_loss": 0.10666896402835846,
1798
+ "teacher_loss": 0.06141383945941925
1799
+ },
1800
+ {
1801
+ "epoch": 0.21621621621621623,
1802
+ "grad_norm": 1.625,
1803
+ "kd_loss": 0.012688029557466507,
1804
+ "learning_rate": 5.253593649857907e-06,
1805
+ "loss": 0.0965,
1806
+ "recon_loss": 1.3027397394180298,
1807
+ "recon_trunc": 0.0,
1808
+ "step": 750,
1809
+ "student_loss": 0.0028391056694090366,
1810
+ "teacher_loss": 0.0029107951559126377
1811
+ },
1812
+ {
1813
+ "epoch": 0.21765765765765765,
1814
+ "grad_norm": 1.515625,
1815
+ "kd_loss": 0.028317168354988098,
1816
+ "learning_rate": 5.199670136302443e-06,
1817
+ "loss": 0.0993,
1818
+ "recon_loss": 1.194815754890442,
1819
+ "recon_trunc": 0.0,
1820
+ "step": 755,
1821
+ "student_loss": 0.031675707548856735,
1822
+ "teacher_loss": 0.021445225924253464
1823
+ },
1824
+ {
1825
+ "epoch": 0.2190990990990991,
1826
+ "grad_norm": 2.296875,
1827
+ "kd_loss": 0.024305731058120728,
1828
+ "learning_rate": 5.145723351338799e-06,
1829
+ "loss": 0.0947,
1830
+ "recon_loss": 0.7198876142501831,
1831
+ "recon_trunc": 0.0,
1832
+ "step": 760,
1833
+ "student_loss": 0.004496672656387091,
1834
+ "teacher_loss": 0.002695088740438223
1835
+ },
1836
+ {
1837
+ "epoch": 0.22054054054054054,
1838
+ "grad_norm": 2.28125,
1839
+ "kd_loss": 0.009439276531338692,
1840
+ "learning_rate": 5.091759582425263e-06,
1841
+ "loss": 0.1063,
1842
+ "recon_loss": 1.6393507719039917,
1843
+ "recon_trunc": 0.0,
1844
+ "step": 765,
1845
+ "student_loss": 0.003358996007591486,
1846
+ "teacher_loss": 0.002300855703651905
1847
+ },
1848
+ {
1849
+ "epoch": 0.221981981981982,
1850
+ "grad_norm": 1.9140625,
1851
+ "kd_loss": 0.01450285129249096,
1852
+ "learning_rate": 5.037785118999585e-06,
1853
+ "loss": 0.1033,
1854
+ "recon_loss": 2.684377431869507,
1855
+ "recon_trunc": 0.0,
1856
+ "step": 770,
1857
+ "student_loss": 0.02557431533932686,
1858
+ "teacher_loss": 0.017635051161050797
1859
+ },
1860
+ {
1861
+ "epoch": 0.22342342342342342,
1862
+ "grad_norm": 2.03125,
1863
+ "kd_loss": 0.009869835339486599,
1864
+ "learning_rate": 4.983806251745958e-06,
1865
+ "loss": 0.104,
1866
+ "recon_loss": 2.2494969367980957,
1867
+ "recon_trunc": 0.0,
1868
+ "step": 775,
1869
+ "student_loss": 0.004350853618234396,
1870
+ "teacher_loss": 0.011981328018009663
1871
+ },
1872
+ {
1873
+ "epoch": 0.22486486486486487,
1874
+ "grad_norm": 2.140625,
1875
+ "kd_loss": 0.011742651462554932,
1876
+ "learning_rate": 4.9298292718618295e-06,
1877
+ "loss": 0.0987,
1878
+ "recon_loss": 1.0973132848739624,
1879
+ "recon_trunc": 0.0,
1880
+ "step": 780,
1881
+ "student_loss": 0.010750161483883858,
1882
+ "teacher_loss": 0.0023801035713404417
1883
+ },
1884
+ {
1885
+ "epoch": 0.2263063063063063,
1886
+ "grad_norm": 1.9375,
1887
+ "kd_loss": 0.014649628661572933,
1888
+ "learning_rate": 4.875860470324685e-06,
1889
+ "loss": 0.1004,
1890
+ "recon_loss": 0.7299957275390625,
1891
+ "recon_trunc": 0.0,
1892
+ "step": 785,
1893
+ "student_loss": 0.0033197549637407064,
1894
+ "teacher_loss": 0.0042490423657000065
1895
+ },
1896
+ {
1897
+ "epoch": 0.22774774774774775,
1898
+ "grad_norm": 5.5,
1899
+ "kd_loss": 0.014108363538980484,
1900
+ "learning_rate": 4.821906137158822e-06,
1901
+ "loss": 0.0943,
1902
+ "recon_loss": 1.2130095958709717,
1903
+ "recon_trunc": 0.0,
1904
+ "step": 790,
1905
+ "student_loss": 0.011785932816565037,
1906
+ "teacher_loss": 0.0068002487532794476
1907
+ },
1908
+ {
1909
+ "epoch": 0.22918918918918918,
1910
+ "grad_norm": 3.5,
1911
+ "kd_loss": 0.01567964069545269,
1912
+ "learning_rate": 4.767972560702266e-06,
1913
+ "loss": 0.1001,
1914
+ "recon_loss": 2.4877049922943115,
1915
+ "recon_trunc": 0.0,
1916
+ "step": 795,
1917
+ "student_loss": 0.19766555726528168,
1918
+ "teacher_loss": 0.15711107850074768
1919
+ },
1920
+ {
1921
+ "epoch": 0.23063063063063063,
1922
+ "grad_norm": 1.859375,
1923
+ "kd_loss": 0.018815049901604652,
1924
+ "learning_rate": 4.7140660268738565e-06,
1925
+ "loss": 0.0934,
1926
+ "recon_loss": 1.1460384130477905,
1927
+ "recon_trunc": 0.0,
1928
+ "step": 800,
1929
+ "student_loss": 0.0026388883125036955,
1930
+ "teacher_loss": 0.021389150992035866
1931
+ },
1932
+ {
1933
+ "epoch": 0.23207207207207206,
1934
+ "grad_norm": 1.828125,
1935
+ "kd_loss": 0.011156775057315826,
1936
+ "learning_rate": 4.660192818440642e-06,
1937
+ "loss": 0.0927,
1938
+ "recon_loss": 1.1910074949264526,
1939
+ "recon_trunc": 0.0,
1940
+ "step": 805,
1941
+ "student_loss": 0.003458657767623663,
1942
+ "teacher_loss": 0.0030844355933368206
1943
+ },
1944
+ {
1945
+ "epoch": 0.23351351351351352,
1946
+ "grad_norm": 1.6640625,
1947
+ "kd_loss": 0.017878390848636627,
1948
+ "learning_rate": 4.606359214285615e-06,
1949
+ "loss": 0.0953,
1950
+ "recon_loss": 1.1707850694656372,
1951
+ "recon_trunc": 0.0,
1952
+ "step": 810,
1953
+ "student_loss": 0.002790343714877963,
1954
+ "teacher_loss": 0.001495691598393023
1955
+ },
1956
+ {
1957
+ "epoch": 0.23495495495495494,
1958
+ "grad_norm": 2.09375,
1959
+ "kd_loss": 0.011960725300014019,
1960
+ "learning_rate": 4.5525714886759214e-06,
1961
+ "loss": 0.091,
1962
+ "recon_loss": 3.316906213760376,
1963
+ "recon_trunc": 0.0,
1964
+ "step": 815,
1965
+ "student_loss": 0.004394159186631441,
1966
+ "teacher_loss": 0.0032252457458525896
1967
+ },
1968
+ {
1969
+ "epoch": 0.2363963963963964,
1970
+ "grad_norm": 1.890625,
1971
+ "kd_loss": 0.007228494621813297,
1972
+ "learning_rate": 4.498835910531595e-06,
1973
+ "loss": 0.1048,
1974
+ "recon_loss": 2.9495725631713867,
1975
+ "recon_trunc": 0.0,
1976
+ "step": 820,
1977
+ "student_loss": 0.004381747916340828,
1978
+ "teacher_loss": 0.00408752029761672
1979
+ },
1980
+ {
1981
+ "epoch": 0.23783783783783785,
1982
+ "grad_norm": 1.6328125,
1983
+ "kd_loss": 0.010650701820850372,
1984
+ "learning_rate": 4.445158742694919e-06,
1985
+ "loss": 0.0962,
1986
+ "recon_loss": 0.4567302465438843,
1987
+ "recon_trunc": 0.0,
1988
+ "step": 825,
1989
+ "student_loss": 0.00786358118057251,
1990
+ "teacher_loss": 0.008311954326927662
1991
+ },
1992
+ {
1993
+ "epoch": 0.23927927927927928,
1994
+ "grad_norm": 1.4609375,
1995
+ "kd_loss": 0.02082512527704239,
1996
+ "learning_rate": 4.391546241200503e-06,
1997
+ "loss": 0.0767,
1998
+ "recon_loss": 0.9175398349761963,
1999
+ "recon_trunc": 0.0,
2000
+ "step": 830,
2001
+ "student_loss": 0.012589729391038418,
2002
+ "teacher_loss": 0.00804829504340887
2003
+ },
2004
+ {
2005
+ "epoch": 0.24072072072072073,
2006
+ "grad_norm": 1.515625,
2007
+ "kd_loss": 0.020304908975958824,
2008
+ "learning_rate": 4.338004654546136e-06,
2009
+ "loss": 0.0933,
2010
+ "recon_loss": 1.0316662788391113,
2011
+ "recon_trunc": 0.095238097012043,
2012
+ "step": 835,
2013
+ "student_loss": 0.07545731961727142,
2014
+ "teacher_loss": 0.06839510798454285
2015
+ },
2016
+ {
2017
+ "epoch": 0.24216216216216216,
2018
+ "grad_norm": 1.9375,
2019
+ "kd_loss": 0.013990873470902443,
2020
+ "learning_rate": 4.2845402229645366e-06,
2021
+ "loss": 0.0841,
2022
+ "recon_loss": 1.8841662406921387,
2023
+ "recon_trunc": 0.0,
2024
+ "step": 840,
2025
+ "student_loss": 0.005074299871921539,
2026
+ "teacher_loss": 0.03514579311013222
2027
+ },
2028
+ {
2029
+ "epoch": 0.2436036036036036,
2030
+ "grad_norm": 1.5859375,
2031
+ "kd_loss": 0.017677653580904007,
2032
+ "learning_rate": 4.231159177696057e-06,
2033
+ "loss": 0.0957,
2034
+ "recon_loss": 1.6847047805786133,
2035
+ "recon_trunc": 0.0,
2036
+ "step": 845,
2037
+ "student_loss": 0.056813523173332214,
2038
+ "teacher_loss": 0.036687787622213364
2039
+ },
2040
+ {
2041
+ "epoch": 0.24504504504504504,
2042
+ "grad_norm": 1.8828125,
2043
+ "kd_loss": 0.007710277568548918,
2044
+ "learning_rate": 4.177867740262437e-06,
2045
+ "loss": 0.0947,
2046
+ "recon_loss": 0.8180376887321472,
2047
+ "recon_trunc": 0.0,
2048
+ "step": 850,
2049
+ "student_loss": 0.07068512588739395,
2050
+ "teacher_loss": 0.035924047231674194
2051
+ },
2052
+ {
2053
+ "epoch": 0.2464864864864865,
2054
+ "grad_norm": 1.5390625,
2055
+ "kd_loss": 0.009996934793889523,
2056
+ "learning_rate": 4.1246721217416846e-06,
2057
+ "loss": 0.0956,
2058
+ "recon_loss": 1.8882759809494019,
2059
+ "recon_trunc": 0.0,
2060
+ "step": 855,
2061
+ "student_loss": 0.03555234149098396,
2062
+ "teacher_loss": 0.015627330169081688
2063
+ },
2064
+ {
2065
+ "epoch": 0.24792792792792792,
2066
+ "grad_norm": 2.09375,
2067
+ "kd_loss": 0.01746698096394539,
2068
+ "learning_rate": 4.071578522044188e-06,
2069
+ "loss": 0.1005,
2070
+ "recon_loss": 0.6234949827194214,
2071
+ "recon_trunc": 0.0,
2072
+ "step": 860,
2073
+ "student_loss": 0.01093185506761074,
2074
+ "teacher_loss": 0.01649426482617855
2075
+ },
2076
+ {
2077
+ "epoch": 0.24936936936936938,
2078
+ "grad_norm": 2.171875,
2079
+ "kd_loss": 0.015009298920631409,
2080
+ "learning_rate": 4.018593129190113e-06,
2081
+ "loss": 0.1077,
2082
+ "recon_loss": 0.8162397742271423,
2083
+ "recon_trunc": 0.0,
2084
+ "step": 865,
2085
+ "student_loss": 0.009281515143811703,
2086
+ "teacher_loss": 0.0039774044416844845
2087
+ },
2088
+ {
2089
+ "epoch": 0.2508108108108108,
2090
+ "grad_norm": 1.3046875,
2091
+ "kd_loss": 0.0070146722719073296,
2092
+ "learning_rate": 3.965722118588199e-06,
2093
+ "loss": 0.0894,
2094
+ "recon_loss": 0.20341670513153076,
2095
+ "recon_trunc": 0.0,
2096
+ "step": 870,
2097
+ "student_loss": 0.0033650461118668318,
2098
+ "teacher_loss": 0.003060839604586363
2099
+ },
2100
+ {
2101
+ "epoch": 0.25225225225225223,
2102
+ "grad_norm": 1.5234375,
2103
+ "kd_loss": 0.007941058836877346,
2104
+ "learning_rate": 3.912971652316017e-06,
2105
+ "loss": 0.0982,
2106
+ "recon_loss": 1.1236732006072998,
2107
+ "recon_trunc": 0.0,
2108
+ "step": 875,
2109
+ "student_loss": 0.0031773594673722982,
2110
+ "teacher_loss": 0.002277960767969489
2111
+ },
2112
+ {
2113
+ "epoch": 0.2536936936936937,
2114
+ "grad_norm": 1.7265625,
2115
+ "kd_loss": 0.03348002955317497,
2116
+ "learning_rate": 3.8603478784017845e-06,
2117
+ "loss": 0.0964,
2118
+ "recon_loss": 1.726459264755249,
2119
+ "recon_trunc": 0.0,
2120
+ "step": 880,
2121
+ "student_loss": 0.048676300793886185,
2122
+ "teacher_loss": 0.024330031126737595
2123
+ },
2124
+ {
2125
+ "epoch": 0.25513513513513514,
2126
+ "grad_norm": 1.390625,
2127
+ "kd_loss": 0.006867540534585714,
2128
+ "learning_rate": 3.8078569301078165e-06,
2129
+ "loss": 0.095,
2130
+ "recon_loss": 1.1007535457611084,
2131
+ "recon_trunc": 0.0,
2132
+ "step": 885,
2133
+ "student_loss": 0.05072127282619476,
2134
+ "teacher_loss": 0.044561658054590225
2135
+ },
2136
+ {
2137
+ "epoch": 0.25657657657657656,
2138
+ "grad_norm": 1.7734375,
2139
+ "kd_loss": 0.008706974796950817,
2140
+ "learning_rate": 3.7555049252157006e-06,
2141
+ "loss": 0.0983,
2142
+ "recon_loss": 1.0271594524383545,
2143
+ "recon_trunc": 0.0,
2144
+ "step": 890,
2145
+ "student_loss": 0.0025675473734736443,
2146
+ "teacher_loss": 0.00493641709908843
2147
+ },
2148
+ {
2149
+ "epoch": 0.258018018018018,
2150
+ "grad_norm": 1.515625,
2151
+ "kd_loss": 0.01960054226219654,
2152
+ "learning_rate": 3.703297965313275e-06,
2153
+ "loss": 0.0919,
2154
+ "recon_loss": 1.547040343284607,
2155
+ "recon_trunc": 0.0,
2156
+ "step": 895,
2157
+ "student_loss": 0.05576763674616814,
2158
+ "teacher_loss": 0.0349409393966198
2159
+ },
2160
+ {
2161
+ "epoch": 0.2594594594594595,
2162
+ "grad_norm": 1.421875,
2163
+ "kd_loss": 0.015275723300874233,
2164
+ "learning_rate": 3.651242135083485e-06,
2165
+ "loss": 0.0853,
2166
+ "recon_loss": 1.4707047939300537,
2167
+ "recon_trunc": 0.0,
2168
+ "step": 900,
2169
+ "student_loss": 0.01047065295279026,
2170
+ "teacher_loss": 0.019112160429358482
2171
+ },
2172
+ {
2173
+ "epoch": 0.2609009009009009,
2174
+ "grad_norm": 1.6875,
2175
+ "kd_loss": 0.01020866446197033,
2176
+ "learning_rate": 3.599343501595229e-06,
2177
+ "loss": 0.0974,
2178
+ "recon_loss": 1.6204107999801636,
2179
+ "recon_trunc": 0.0,
2180
+ "step": 905,
2181
+ "student_loss": 0.007498105987906456,
2182
+ "teacher_loss": 0.005625428166240454
2183
+ },
2184
+ {
2185
+ "epoch": 0.2623423423423423,
2186
+ "grad_norm": 1.9296875,
2187
+ "kd_loss": 0.022968482226133347,
2188
+ "learning_rate": 3.5476081135962335e-06,
2189
+ "loss": 0.1013,
2190
+ "recon_loss": 1.4789589643478394,
2191
+ "recon_trunc": 0.0,
2192
+ "step": 910,
2193
+ "student_loss": 0.17107854783535004,
2194
+ "teacher_loss": 0.12146960198879242
2195
+ },
2196
+ {
2197
+ "epoch": 0.2637837837837838,
2198
+ "grad_norm": 2.015625,
2199
+ "kd_loss": 0.008676648139953613,
2200
+ "learning_rate": 3.496042000808091e-06,
2201
+ "loss": 0.0954,
2202
+ "recon_loss": 1.9014108180999756,
2203
+ "recon_trunc": 0.0,
2204
+ "step": 915,
2205
+ "student_loss": 0.0032600320409983397,
2206
+ "teacher_loss": 0.005251611117273569
2207
+ },
2208
+ {
2209
+ "epoch": 0.26522522522522524,
2210
+ "grad_norm": 2.0625,
2211
+ "kd_loss": 0.006392610725015402,
2212
+ "learning_rate": 3.4446511732234846e-06,
2213
+ "loss": 0.0965,
2214
+ "recon_loss": 3.175675392150879,
2215
+ "recon_trunc": 0.0,
2216
+ "step": 920,
2217
+ "student_loss": 0.0030960082076489925,
2218
+ "teacher_loss": 0.002726975828409195
2219
+ },
2220
+ {
2221
+ "epoch": 0.26666666666666666,
2222
+ "grad_norm": 2.625,
2223
+ "kd_loss": 0.015356424264609814,
2224
+ "learning_rate": 3.3934416204057396e-06,
2225
+ "loss": 0.0957,
2226
+ "recon_loss": 1.1342909336090088,
2227
+ "recon_trunc": 0.0,
2228
+ "step": 925,
2229
+ "student_loss": 0.03828441724181175,
2230
+ "teacher_loss": 0.02549426443874836
2231
+ },
2232
+ {
2233
+ "epoch": 0.2681081081081081,
2234
+ "grad_norm": 1.59375,
2235
+ "kd_loss": 0.008220403455197811,
2236
+ "learning_rate": 3.3424193107907386e-06,
2237
+ "loss": 0.0932,
2238
+ "recon_loss": 0.886868417263031,
2239
+ "recon_trunc": 0.0,
2240
+ "step": 930,
2241
+ "student_loss": 0.0020137070678174496,
2242
+ "teacher_loss": 0.0015112607507035136
2243
+ },
2244
+ {
2245
+ "epoch": 0.26954954954954957,
2246
+ "grad_norm": 2.4375,
2247
+ "kd_loss": 0.015720056369900703,
2248
+ "learning_rate": 3.291590190991306e-06,
2249
+ "loss": 0.0939,
2250
+ "recon_loss": 1.2992150783538818,
2251
+ "recon_trunc": 0.0,
2252
+ "step": 935,
2253
+ "student_loss": 0.006933893077075481,
2254
+ "teacher_loss": 0.0027362850960344076
2255
+ },
2256
+ {
2257
+ "epoch": 0.270990990990991,
2258
+ "grad_norm": 1.5234375,
2259
+ "kd_loss": 0.012597126886248589,
2260
+ "learning_rate": 3.240960185104137e-06,
2261
+ "loss": 0.093,
2262
+ "recon_loss": 1.9500657320022583,
2263
+ "recon_trunc": 0.0,
2264
+ "step": 940,
2265
+ "student_loss": 0.014928960241377354,
2266
+ "teacher_loss": 0.012803679332137108
2267
+ },
2268
+ {
2269
+ "epoch": 0.2724324324324324,
2270
+ "grad_norm": 1.8125,
2271
+ "kd_loss": 0.008467881008982658,
2272
+ "learning_rate": 3.1905351940193417e-06,
2273
+ "loss": 0.094,
2274
+ "recon_loss": 2.5965704917907715,
2275
+ "recon_trunc": 0.0,
2276
+ "step": 945,
2277
+ "student_loss": 0.018712086603045464,
2278
+ "teacher_loss": 0.011909306049346924
2279
+ },
2280
+ {
2281
+ "epoch": 0.27387387387387385,
2282
+ "grad_norm": 1.6484375,
2283
+ "kd_loss": 0.007483259774744511,
2284
+ "learning_rate": 3.14032109473271e-06,
2285
+ "loss": 0.1115,
2286
+ "recon_loss": 3.548143148422241,
2287
+ "recon_trunc": 0.0,
2288
+ "step": 950,
2289
+ "student_loss": 0.007603426463901997,
2290
+ "teacher_loss": 0.006821023300290108
2291
+ },
2292
+ {
2293
+ "epoch": 0.27531531531531533,
2294
+ "grad_norm": 1.8046875,
2295
+ "kd_loss": 0.010757386684417725,
2296
+ "learning_rate": 3.090323739660742e-06,
2297
+ "loss": 0.0805,
2298
+ "recon_loss": 0.7502933144569397,
2299
+ "recon_trunc": 0.0,
2300
+ "step": 955,
2301
+ "student_loss": 0.00226012896746397,
2302
+ "teacher_loss": 0.0012833380606025457
2303
+ },
2304
+ {
2305
+ "epoch": 0.27675675675675676,
2306
+ "grad_norm": 1.703125,
2307
+ "kd_loss": 0.010780137963593006,
2308
+ "learning_rate": 3.040548955958563e-06,
2309
+ "loss": 0.092,
2310
+ "recon_loss": 0.8820634484291077,
2311
+ "recon_trunc": 0.0,
2312
+ "step": 960,
2313
+ "student_loss": 0.04735017940402031,
2314
+ "teacher_loss": 0.01725047081708908
2315
+ },
2316
+ {
2317
+ "epoch": 0.2781981981981982,
2318
+ "grad_norm": 2.75,
2319
+ "kd_loss": 0.006949195172637701,
2320
+ "learning_rate": 2.991002544840763e-06,
2321
+ "loss": 0.092,
2322
+ "recon_loss": 3.699920177459717,
2323
+ "recon_trunc": 0.0,
2324
+ "step": 965,
2325
+ "student_loss": 0.006522569339722395,
2326
+ "teacher_loss": 0.005998547188937664
2327
+ },
2328
+ {
2329
+ "epoch": 0.2796396396396396,
2330
+ "grad_norm": 1.5546875,
2331
+ "kd_loss": 0.011674799956381321,
2332
+ "learning_rate": 2.9416902809052817e-06,
2333
+ "loss": 0.0914,
2334
+ "recon_loss": 1.6148827075958252,
2335
+ "recon_trunc": 0.0,
2336
+ "step": 970,
2337
+ "student_loss": 0.002716856775805354,
2338
+ "teacher_loss": 0.0016918969340622425
2339
+ },
2340
+ {
2341
+ "epoch": 0.2810810810810811,
2342
+ "grad_norm": 2.90625,
2343
+ "kd_loss": 0.0183776393532753,
2344
+ "learning_rate": 2.8926179114603704e-06,
2345
+ "loss": 0.0961,
2346
+ "recon_loss": 0.5997033715248108,
2347
+ "recon_trunc": 0.0,
2348
+ "step": 975,
2349
+ "student_loss": 0.005472161341458559,
2350
+ "teacher_loss": 0.001077870954759419
2351
+ },
2352
+ {
2353
+ "epoch": 0.2825225225225225,
2354
+ "grad_norm": 1.5859375,
2355
+ "kd_loss": 0.017831645905971527,
2356
+ "learning_rate": 2.8437911558547515e-06,
2357
+ "loss": 0.0858,
2358
+ "recon_loss": 1.7456401586532593,
2359
+ "recon_trunc": 0.0,
2360
+ "step": 980,
2361
+ "student_loss": 0.029375635087490082,
2362
+ "teacher_loss": 0.024158205837011337
2363
+ },
2364
+ {
2365
+ "epoch": 0.28396396396396395,
2366
+ "grad_norm": 2.03125,
2367
+ "kd_loss": 0.009199182502925396,
2368
+ "learning_rate": 2.7952157048110406e-06,
2369
+ "loss": 0.0908,
2370
+ "recon_loss": 2.176257610321045,
2371
+ "recon_trunc": 0.0,
2372
+ "step": 985,
2373
+ "student_loss": 0.002366869244724512,
2374
+ "teacher_loss": 0.002399787772446871
2375
+ },
2376
+ {
2377
+ "epoch": 0.28540540540540543,
2378
+ "grad_norm": 1.40625,
2379
+ "kd_loss": 0.014838067814707756,
2380
+ "learning_rate": 2.74689721976249e-06,
2381
+ "loss": 0.09,
2382
+ "recon_loss": 1.4003294706344604,
2383
+ "recon_trunc": 0.0,
2384
+ "step": 990,
2385
+ "student_loss": 0.011432410217821598,
2386
+ "teacher_loss": 0.01332931499928236
2387
+ },
2388
+ {
2389
+ "epoch": 0.28684684684684686,
2390
+ "grad_norm": 1.75,
2391
+ "kd_loss": 0.018339650705456734,
2392
+ "learning_rate": 2.698841332193148e-06,
2393
+ "loss": 0.0876,
2394
+ "recon_loss": 0.7649494409561157,
2395
+ "recon_trunc": 0.0,
2396
+ "step": 995,
2397
+ "student_loss": 0.054880835115909576,
2398
+ "teacher_loss": 0.022861065343022346
2399
+ },
2400
+ {
2401
+ "epoch": 0.2882882882882883,
2402
+ "grad_norm": 1.171875,
2403
+ "kd_loss": 0.01832008734345436,
2404
+ "learning_rate": 2.6510536429815224e-06,
2405
+ "loss": 0.0849,
2406
+ "recon_loss": 0.9259073138237,
2407
+ "recon_trunc": 0.0,
2408
+ "step": 1000,
2409
+ "student_loss": 0.013930868357419968,
2410
+ "teacher_loss": 0.010818339884281158
2411
+ },
2412
+ {
2413
+ "epoch": 0.2897297297297297,
2414
+ "grad_norm": 2.078125,
2415
+ "kd_loss": 0.011398128233850002,
2416
+ "learning_rate": 2.6035397217477977e-06,
2417
+ "loss": 0.0922,
2418
+ "recon_loss": 1.2647162675857544,
2419
+ "recon_trunc": 0.0,
2420
+ "step": 1005,
2421
+ "student_loss": 0.03702947124838829,
2422
+ "teacher_loss": 0.014146753586828709
2423
+ },
2424
+ {
2425
+ "epoch": 0.2911711711711712,
2426
+ "grad_norm": 1.7578125,
2427
+ "kd_loss": 0.008698206394910812,
2428
+ "learning_rate": 2.5563051062047034e-06,
2429
+ "loss": 0.0931,
2430
+ "recon_loss": 3.5339043140411377,
2431
+ "recon_trunc": 0.0,
2432
+ "step": 1010,
2433
+ "student_loss": 0.002814521547406912,
2434
+ "teacher_loss": 0.002307652495801449
2435
+ },
2436
+ {
2437
+ "epoch": 0.2926126126126126,
2438
+ "grad_norm": 2.09375,
2439
+ "kd_loss": 0.008382459171116352,
2440
+ "learning_rate": 2.5093553015120937e-06,
2441
+ "loss": 0.0908,
2442
+ "recon_loss": 0.8478963375091553,
2443
+ "recon_trunc": 0.0,
2444
+ "step": 1015,
2445
+ "student_loss": 0.003397122025489807,
2446
+ "teacher_loss": 0.002558506326749921
2447
+ },
2448
+ {
2449
+ "epoch": 0.29405405405405405,
2450
+ "grad_norm": 1.6875,
2451
+ "kd_loss": 0.01787000708281994,
2452
+ "learning_rate": 2.4626957796353257e-06,
2453
+ "loss": 0.0946,
2454
+ "recon_loss": 1.4376500844955444,
2455
+ "recon_trunc": 0.0,
2456
+ "step": 1020,
2457
+ "student_loss": 0.03289255499839783,
2458
+ "teacher_loss": 0.05749712511897087
2459
+ },
2460
+ {
2461
+ "epoch": 0.2954954954954955,
2462
+ "grad_norm": 2.0625,
2463
+ "kd_loss": 0.008949090726673603,
2464
+ "learning_rate": 2.416331978707506e-06,
2465
+ "loss": 0.0915,
2466
+ "recon_loss": 2.0869102478027344,
2467
+ "recon_trunc": 0.0,
2468
+ "step": 1025,
2469
+ "student_loss": 0.045973047614097595,
2470
+ "teacher_loss": 0.032188646495342255
2471
+ },
2472
+ {
2473
+ "epoch": 0.29693693693693696,
2474
+ "grad_norm": 1.328125,
2475
+ "kd_loss": 0.023239919915795326,
2476
+ "learning_rate": 2.3702693023956853e-06,
2477
+ "loss": 0.0903,
2478
+ "recon_loss": 1.1783219575881958,
2479
+ "recon_trunc": 0.0,
2480
+ "step": 1030,
2481
+ "student_loss": 0.023714011535048485,
2482
+ "teacher_loss": 0.004810755141079426
2483
+ },
2484
+ {
2485
+ "epoch": 0.2983783783783784,
2486
+ "grad_norm": 1.890625,
2487
+ "kd_loss": 0.012070492841303349,
2488
+ "learning_rate": 2.32451311927106e-06,
2489
+ "loss": 0.0858,
2490
+ "recon_loss": 1.1948258876800537,
2491
+ "recon_trunc": 0.0,
2492
+ "step": 1035,
2493
+ "student_loss": 0.05023680254817009,
2494
+ "teacher_loss": 0.04626806825399399
2495
+ },
2496
+ {
2497
+ "epoch": 0.2998198198198198,
2498
+ "grad_norm": 1.6796875,
2499
+ "kd_loss": 0.01622183620929718,
2500
+ "learning_rate": 2.279068762183267e-06,
2501
+ "loss": 0.0936,
2502
+ "recon_loss": 0.8670558333396912,
2503
+ "recon_trunc": 0.0,
2504
+ "step": 1040,
2505
+ "student_loss": 0.028481584042310715,
2506
+ "teacher_loss": 0.02142520621418953
2507
+ },
2508
+ {
2509
+ "epoch": 0.30126126126126124,
2510
+ "grad_norm": 2.46875,
2511
+ "kd_loss": 0.007846716791391373,
2512
+ "learning_rate": 2.233941527638848e-06,
2513
+ "loss": 0.0918,
2514
+ "recon_loss": 1.5890685319900513,
2515
+ "recon_trunc": 0.0,
2516
+ "step": 1045,
2517
+ "student_loss": 0.0036064554005861282,
2518
+ "teacher_loss": 0.002732039662078023
2519
+ },
2520
+ {
2521
+ "epoch": 0.3027027027027027,
2522
+ "grad_norm": 2.53125,
2523
+ "kd_loss": 0.02530010975897312,
2524
+ "learning_rate": 2.1891366751839443e-06,
2525
+ "loss": 0.0895,
2526
+ "recon_loss": 1.2964962720870972,
2527
+ "recon_trunc": 0.0,
2528
+ "step": 1050,
2529
+ "student_loss": 0.01320843305438757,
2530
+ "teacher_loss": 0.02027864195406437
2531
+ },
2532
+ {
2533
+ "epoch": 0.30414414414414415,
2534
+ "grad_norm": 2.125,
2535
+ "kd_loss": 0.016451945528388023,
2536
+ "learning_rate": 2.1446594267913003e-06,
2537
+ "loss": 0.0823,
2538
+ "recon_loss": 0.9878601431846619,
2539
+ "recon_trunc": 0.0,
2540
+ "step": 1055,
2541
+ "student_loss": 0.00892066303640604,
2542
+ "teacher_loss": 0.005814709234982729
2543
+ },
2544
+ {
2545
+ "epoch": 0.3055855855855856,
2546
+ "grad_norm": 2.015625,
2547
+ "kd_loss": 0.014636109583079815,
2548
+ "learning_rate": 2.1005149662516517e-06,
2549
+ "loss": 0.0884,
2550
+ "recon_loss": 0.5212307572364807,
2551
+ "recon_trunc": 0.0,
2552
+ "step": 1060,
2553
+ "student_loss": 0.005706994794309139,
2554
+ "teacher_loss": 0.004586569964885712
2555
+ },
2556
+ {
2557
+ "epoch": 0.307027027027027,
2558
+ "grad_norm": 1.34375,
2559
+ "kd_loss": 0.018635490909218788,
2560
+ "learning_rate": 2.0567084385695475e-06,
2561
+ "loss": 0.093,
2562
+ "recon_loss": 0.8483979105949402,
2563
+ "recon_trunc": 0.0,
2564
+ "step": 1065,
2565
+ "student_loss": 0.014275050722062588,
2566
+ "teacher_loss": 0.0028141001239418983
2567
+ },
2568
+ {
2569
+ "epoch": 0.3084684684684685,
2570
+ "grad_norm": 1.828125,
2571
+ "kd_loss": 0.02133617177605629,
2572
+ "learning_rate": 2.0132449493637095e-06,
2573
+ "loss": 0.0863,
2574
+ "recon_loss": 1.1203880310058594,
2575
+ "recon_trunc": 0.029411764815449715,
2576
+ "step": 1070,
2577
+ "student_loss": 0.02277274988591671,
2578
+ "teacher_loss": 0.017514826729893684
2579
+ },
2580
+ {
2581
+ "epoch": 0.3099099099099099,
2582
+ "grad_norm": 2.8125,
2583
+ "kd_loss": 0.025110790506005287,
2584
+ "learning_rate": 1.9701295642719836e-06,
2585
+ "loss": 0.0908,
2586
+ "recon_loss": 1.4889389276504517,
2587
+ "recon_trunc": 0.0,
2588
+ "step": 1075,
2589
+ "student_loss": 0.02432236634194851,
2590
+ "teacher_loss": 0.019872069358825684
2591
+ },
2592
+ {
2593
+ "epoch": 0.31135135135135134,
2594
+ "grad_norm": 2.484375,
2595
+ "kd_loss": 0.01807084120810032,
2596
+ "learning_rate": 1.927367308360926e-06,
2597
+ "loss": 0.0989,
2598
+ "recon_loss": 1.4147769212722778,
2599
+ "recon_trunc": 0.0,
2600
+ "step": 1080,
2601
+ "student_loss": 0.002939870348200202,
2602
+ "teacher_loss": 0.0010408149100840092
2603
+ },
2604
+ {
2605
+ "epoch": 0.3127927927927928,
2606
+ "grad_norm": 2.25,
2607
+ "kd_loss": 0.011869323439896107,
2608
+ "learning_rate": 1.8849631655401557e-06,
2609
+ "loss": 0.0907,
2610
+ "recon_loss": 1.709843397140503,
2611
+ "recon_trunc": 0.0,
2612
+ "step": 1085,
2613
+ "student_loss": 0.0282153207808733,
2614
+ "teacher_loss": 0.03757878765463829
2615
+ },
2616
+ {
2617
+ "epoch": 0.31423423423423424,
2618
+ "grad_norm": 1.5546875,
2619
+ "kd_loss": 0.016320809721946716,
2620
+ "learning_rate": 1.8429220779814654e-06,
2621
+ "loss": 0.0899,
2622
+ "recon_loss": 0.6446734070777893,
2623
+ "recon_trunc": 0.0,
2624
+ "step": 1090,
2625
+ "student_loss": 0.05461004003882408,
2626
+ "teacher_loss": 0.0350608229637146
2627
+ },
2628
+ {
2629
+ "epoch": 0.31567567567567567,
2630
+ "grad_norm": 2.28125,
2631
+ "kd_loss": 0.020763752982020378,
2632
+ "learning_rate": 1.8012489455428261e-06,
2633
+ "loss": 0.0973,
2634
+ "recon_loss": 0.9621430039405823,
2635
+ "recon_trunc": 0.0,
2636
+ "step": 1095,
2637
+ "student_loss": 0.0130164111033082,
2638
+ "teacher_loss": 0.0014654602855443954
2639
+ },
2640
+ {
2641
+ "epoch": 0.3171171171171171,
2642
+ "grad_norm": 1.6640625,
2643
+ "kd_loss": 0.029585907235741615,
2644
+ "learning_rate": 1.7599486251973057e-06,
2645
+ "loss": 0.0917,
2646
+ "recon_loss": 1.8840738534927368,
2647
+ "recon_trunc": 0.125,
2648
+ "step": 1100,
2649
+ "student_loss": 0.03502124175429344,
2650
+ "teacher_loss": 0.023600025102496147
2651
+ },
2652
+ {
2653
+ "epoch": 0.3185585585585586,
2654
+ "grad_norm": 2.078125,
2655
+ "kd_loss": 0.01753348670899868,
2656
+ "learning_rate": 1.7190259304670038e-06,
2657
+ "loss": 0.0784,
2658
+ "recon_loss": 0.582436740398407,
2659
+ "recon_trunc": 0.0,
2660
+ "step": 1105,
2661
+ "student_loss": 0.020779673010110855,
2662
+ "teacher_loss": 0.02027658000588417
2663
+ },
2664
+ {
2665
+ "epoch": 0.32,
2666
+ "grad_norm": 2.609375,
2667
+ "kd_loss": 0.020432377234101295,
2668
+ "learning_rate": 1.6784856308620217e-06,
2669
+ "loss": 0.0924,
2670
+ "recon_loss": 0.4507274925708771,
2671
+ "recon_trunc": 0.0,
2672
+ "step": 1110,
2673
+ "student_loss": 0.010371611453592777,
2674
+ "teacher_loss": 0.0023979730904102325
2675
+ },
2676
+ {
2677
+ "epoch": 0.32144144144144143,
2678
+ "grad_norm": 1.390625,
2679
+ "kd_loss": 0.008641150780022144,
2680
+ "learning_rate": 1.638332451324593e-06,
2681
+ "loss": 0.0912,
2682
+ "recon_loss": 1.6399307250976562,
2683
+ "recon_trunc": 0.0,
2684
+ "step": 1115,
2685
+ "student_loss": 0.008218732662498951,
2686
+ "teacher_loss": 0.0056208232417702675
2687
+ },
2688
+ {
2689
+ "epoch": 0.32288288288288286,
2690
+ "grad_norm": 1.421875,
2691
+ "kd_loss": 0.0075892792083323,
2692
+ "learning_rate": 1.5985710716783936e-06,
2693
+ "loss": 0.0937,
2694
+ "recon_loss": 1.7890102863311768,
2695
+ "recon_trunc": 0.0,
2696
+ "step": 1120,
2697
+ "student_loss": 0.002585415495559573,
2698
+ "teacher_loss": 0.0025254059582948685
2699
+ },
2700
+ {
2701
+ "epoch": 0.32432432432432434,
2702
+ "grad_norm": 1.859375,
2703
+ "kd_loss": 0.007906612008810043,
2704
+ "learning_rate": 1.5592061260831026e-06,
2705
+ "loss": 0.1223,
2706
+ "recon_loss": 4.803988456726074,
2707
+ "recon_trunc": 0.0,
2708
+ "step": 1125,
2709
+ "student_loss": 0.04124952480196953,
2710
+ "teacher_loss": 0.03742600232362747
2711
+ },
2712
+ {
2713
+ "epoch": 0.32576576576576577,
2714
+ "grad_norm": 1.6484375,
2715
+ "kd_loss": 0.007388543803244829,
2716
+ "learning_rate": 1.5202422024943069e-06,
2717
+ "loss": 0.0829,
2718
+ "recon_loss": 0.67726731300354,
2719
+ "recon_trunc": 0.0,
2720
+ "step": 1130,
2721
+ "student_loss": 0.002848874544724822,
2722
+ "teacher_loss": 0.0026724361814558506
2723
+ },
2724
+ {
2725
+ "epoch": 0.3272072072072072,
2726
+ "grad_norm": 1.9375,
2727
+ "kd_loss": 0.022917937487363815,
2728
+ "learning_rate": 1.4816838421287693e-06,
2729
+ "loss": 0.1084,
2730
+ "recon_loss": 1.062599539756775,
2731
+ "recon_trunc": 0.0,
2732
+ "step": 1135,
2733
+ "student_loss": 0.05018072575330734,
2734
+ "teacher_loss": 0.023166941478848457
2735
+ },
2736
+ {
2737
+ "epoch": 0.3286486486486486,
2738
+ "grad_norm": 3.3125,
2739
+ "kd_loss": 0.013231215067207813,
2740
+ "learning_rate": 1.4435355389351553e-06,
2741
+ "loss": 0.0935,
2742
+ "recon_loss": 0.82977694272995,
2743
+ "recon_trunc": 0.0,
2744
+ "step": 1140,
2745
+ "student_loss": 0.0035748393274843693,
2746
+ "teacher_loss": 0.0023794621229171753
2747
+ },
2748
+ {
2749
+ "epoch": 0.3300900900900901,
2750
+ "grad_norm": 1.6875,
2751
+ "kd_loss": 0.01594485342502594,
2752
+ "learning_rate": 1.4058017390702671e-06,
2753
+ "loss": 0.1028,
2754
+ "recon_loss": 3.129906177520752,
2755
+ "recon_trunc": 0.0,
2756
+ "step": 1145,
2757
+ "student_loss": 0.02241712436079979,
2758
+ "teacher_loss": 0.004998465068638325
2759
+ },
2760
+ {
2761
+ "epoch": 0.33153153153153153,
2762
+ "grad_norm": 1.421875,
2763
+ "kd_loss": 0.012003305368125439,
2764
+ "learning_rate": 1.368486840380851e-06,
2765
+ "loss": 0.0935,
2766
+ "recon_loss": 0.7430909872055054,
2767
+ "recon_trunc": 0.0,
2768
+ "step": 1150,
2769
+ "student_loss": 0.020740047097206116,
2770
+ "teacher_loss": 0.008964942768216133
2771
+ },
2772
+ {
2773
+ "epoch": 0.33297297297297296,
2774
+ "grad_norm": 1.6640625,
2775
+ "kd_loss": 0.011111510917544365,
2776
+ "learning_rate": 1.3315951918910241e-06,
2777
+ "loss": 0.091,
2778
+ "recon_loss": 2.4856646060943604,
2779
+ "recon_trunc": 0.0,
2780
+ "step": 1155,
2781
+ "student_loss": 0.0018154662102460861,
2782
+ "teacher_loss": 0.001369763514958322
2783
+ },
2784
+ {
2785
+ "epoch": 0.33441441441441444,
2786
+ "grad_norm": 2.703125,
2787
+ "kd_loss": 0.031182873994112015,
2788
+ "learning_rate": 1.2951310932954024e-06,
2789
+ "loss": 0.0878,
2790
+ "recon_loss": 0.9922821521759033,
2791
+ "recon_trunc": 0.0,
2792
+ "step": 1160,
2793
+ "student_loss": 0.030812330543994904,
2794
+ "teacher_loss": 0.006668732967227697
2795
+ },
2796
+ {
2797
+ "epoch": 0.33585585585585587,
2798
+ "grad_norm": 2.15625,
2799
+ "kd_loss": 0.0226407703012228,
2800
+ "learning_rate": 1.2590987944579808e-06,
2801
+ "loss": 0.1046,
2802
+ "recon_loss": 0.7255238890647888,
2803
+ "recon_trunc": 0.0,
2804
+ "step": 1165,
2805
+ "student_loss": 0.027604632079601288,
2806
+ "teacher_loss": 0.010866493918001652
2807
+ },
2808
+ {
2809
+ "epoch": 0.3372972972972973,
2810
+ "grad_norm": 2.0625,
2811
+ "kd_loss": 0.01790717802941799,
2812
+ "learning_rate": 1.2235024949167994e-06,
2813
+ "loss": 0.0937,
2814
+ "recon_loss": 1.1223076581954956,
2815
+ "recon_trunc": 0.0,
2816
+ "step": 1170,
2817
+ "student_loss": 0.025606432929635048,
2818
+ "teacher_loss": 0.009214171208441257
2819
+ },
2820
+ {
2821
+ "epoch": 0.3387387387387387,
2822
+ "grad_norm": 1.3359375,
2823
+ "kd_loss": 0.02829998917877674,
2824
+ "learning_rate": 1.1883463433945092e-06,
2825
+ "loss": 0.102,
2826
+ "recon_loss": 0.5901147723197937,
2827
+ "recon_trunc": 0.0,
2828
+ "step": 1175,
2829
+ "student_loss": 0.028822554275393486,
2830
+ "teacher_loss": 0.012383908964693546
2831
+ },
2832
+ {
2833
+ "epoch": 0.3401801801801802,
2834
+ "grad_norm": 1.6640625,
2835
+ "kd_loss": 0.02160187065601349,
2836
+ "learning_rate": 1.1536344373148245e-06,
2837
+ "loss": 0.1012,
2838
+ "recon_loss": 1.1110165119171143,
2839
+ "recon_trunc": 0.0,
2840
+ "step": 1180,
2841
+ "student_loss": 0.050414130091667175,
2842
+ "teacher_loss": 0.010841689072549343
2843
+ },
2844
+ {
2845
+ "epoch": 0.34162162162162163,
2846
+ "grad_norm": 1.8515625,
2847
+ "kd_loss": 0.0186303723603487,
2848
+ "learning_rate": 1.119370822324981e-06,
2849
+ "loss": 0.0898,
2850
+ "recon_loss": 0.6764245629310608,
2851
+ "recon_trunc": 0.0,
2852
+ "step": 1185,
2853
+ "student_loss": 0.014354808256030083,
2854
+ "teacher_loss": 0.011137118563055992
2855
+ },
2856
+ {
2857
+ "epoch": 0.34306306306306306,
2858
+ "grad_norm": 1.71875,
2859
+ "kd_loss": 0.014475632458925247,
2860
+ "learning_rate": 1.0855594918242157e-06,
2861
+ "loss": 0.0911,
2862
+ "recon_loss": 0.9524720907211304,
2863
+ "recon_trunc": 0.0,
2864
+ "step": 1190,
2865
+ "student_loss": 0.03521260991692543,
2866
+ "teacher_loss": 0.002256652805954218
2867
+ },
2868
+ {
2869
+ "epoch": 0.3445045045045045,
2870
+ "grad_norm": 2.15625,
2871
+ "kd_loss": 0.01269450131803751,
2872
+ "learning_rate": 1.0522043864983428e-06,
2873
+ "loss": 0.0891,
2874
+ "recon_loss": 0.35486042499542236,
2875
+ "recon_trunc": 0.0,
2876
+ "step": 1195,
2877
+ "student_loss": 0.006026371382176876,
2878
+ "teacher_loss": 0.0035609882324934006
2879
+ },
2880
+ {
2881
+ "epoch": 0.34594594594594597,
2882
+ "grad_norm": 1.5859375,
2883
+ "kd_loss": 0.011818514205515385,
2884
+ "learning_rate": 1.0193093938604627e-06,
2885
+ "loss": 0.0969,
2886
+ "recon_loss": 2.8682312965393066,
2887
+ "recon_trunc": 0.0,
2888
+ "step": 1200,
2889
+ "student_loss": 0.005163633730262518,
2890
+ "teacher_loss": 0.002091110683977604
2891
+ }
2892
+ ],
2893
+ "logging_steps": 5,
2894
+ "max_steps": 1500,
2895
+ "num_input_tokens_seen": 0,
2896
+ "num_train_epochs": 1,
2897
+ "save_steps": 300,
2898
+ "stateful_callbacks": {
2899
+ "TrainerControl": {
2900
+ "args": {
2901
+ "should_epoch_stop": false,
2902
+ "should_evaluate": false,
2903
+ "should_log": false,
2904
+ "should_save": true,
2905
+ "should_training_stop": false
2906
+ },
2907
+ "attributes": {}
2908
+ }
2909
+ },
2910
+ "total_flos": 0.0,
2911
+ "train_batch_size": 1,
2912
+ "trial_name": null,
2913
+ "trial_params": null
2914
+ }
checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1200/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:536c3d53a07695cc7265e3fd9454ddd0c9804e9f9e367393c4c1e4c6530f3697
3
+ size 5905
checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1200/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1500/added_tokens.json ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</tool_call>": 151658,
3
+ "<tool_call>": 151657,
4
+ "<|action_sep|>": 151670,
5
+ "<|arg_sep|>": 151671,
6
+ "<|box_end|>": 151649,
7
+ "<|box_start|>": 151648,
8
+ "<|call_sep|>": 151666,
9
+ "<|end_of_text|>": 151673,
10
+ "<|endoftext|>": 151643,
11
+ "<|exception_sep|>": 151669,
12
+ "<|file_sep|>": 151664,
13
+ "<|fim_middle|>": 151660,
14
+ "<|fim_pad|>": 151662,
15
+ "<|fim_prefix|>": 151659,
16
+ "<|fim_suffix|>": 151661,
17
+ "<|frame_sep|>": 151672,
18
+ "<|im_end|>": 151645,
19
+ "<|im_start|>": 151644,
20
+ "<|image_pad|>": 151655,
21
+ "<|latent_end|>": 151675,
22
+ "<|latent_start|>": 151674,
23
+ "<|line_sep|>": 151667,
24
+ "<|object_ref_end|>": 151647,
25
+ "<|object_ref_start|>": 151646,
26
+ "<|quad_end|>": 151651,
27
+ "<|quad_start|>": 151650,
28
+ "<|repo_name|>": 151663,
29
+ "<|return_sep|>": 151668,
30
+ "<|trace_context_start|>": 151665,
31
+ "<|video_pad|>": 151656,
32
+ "<|vision_end|>": 151653,
33
+ "<|vision_pad|>": 151654,
34
+ "<|vision_start|>": 151652
35
+ }
checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1500/chat_template.jinja ADDED
@@ -0,0 +1,54 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {%- if tools %}
2
+ {{- '<|im_start|>system\n' }}
3
+ {%- if messages[0]['role'] == 'system' %}
4
+ {{- messages[0]['content'] }}
5
+ {%- else %}
6
+ {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
7
+ {%- endif %}
8
+ {{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
9
+ {%- for tool in tools %}
10
+ {{- "\n" }}
11
+ {{- tool | tojson }}
12
+ {%- endfor %}
13
+ {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
14
+ {%- else %}
15
+ {%- if messages[0]['role'] == 'system' %}
16
+ {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
17
+ {%- else %}
18
+ {{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
19
+ {%- endif %}
20
+ {%- endif %}
21
+ {%- for message in messages %}
22
+ {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
23
+ {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
24
+ {%- elif message.role == "assistant" %}
25
+ {{- '<|im_start|>' + message.role }}
26
+ {%- if message.content %}
27
+ {{- '\n' + message.content }}
28
+ {%- endif %}
29
+ {%- for tool_call in message.tool_calls %}
30
+ {%- if tool_call.function is defined %}
31
+ {%- set tool_call = tool_call.function %}
32
+ {%- endif %}
33
+ {{- '\n<tool_call>\n{"name": "' }}
34
+ {{- tool_call.name }}
35
+ {{- '", "arguments": ' }}
36
+ {{- tool_call.arguments | tojson }}
37
+ {{- '}\n</tool_call>' }}
38
+ {%- endfor %}
39
+ {{- '<|im_end|>\n' }}
40
+ {%- elif message.role == "tool" %}
41
+ {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
42
+ {{- '<|im_start|>user' }}
43
+ {%- endif %}
44
+ {{- '\n<tool_response>\n' }}
45
+ {{- message.content }}
46
+ {{- '\n</tool_response>' }}
47
+ {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
48
+ {{- '<|im_end|>\n' }}
49
+ {%- endif %}
50
+ {%- endif %}
51
+ {%- endfor %}
52
+ {%- if add_generation_prompt %}
53
+ {{- '<|im_start|>assistant\n' }}
54
+ {%- endif %}
checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1500/config.json ADDED
@@ -0,0 +1,58 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Qwen2ForCausalLM"
4
+ ],
5
+ "attention_dropout": 0.0,
6
+ "bos_token_id": 151643,
7
+ "dtype": "bfloat16",
8
+ "eos_token_id": 151643,
9
+ "hidden_act": "silu",
10
+ "hidden_size": 1536,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 8960,
13
+ "layer_types": [
14
+ "full_attention",
15
+ "full_attention",
16
+ "full_attention",
17
+ "full_attention",
18
+ "full_attention",
19
+ "full_attention",
20
+ "full_attention",
21
+ "full_attention",
22
+ "full_attention",
23
+ "full_attention",
24
+ "full_attention",
25
+ "full_attention",
26
+ "full_attention",
27
+ "full_attention",
28
+ "full_attention",
29
+ "full_attention",
30
+ "full_attention",
31
+ "full_attention",
32
+ "full_attention",
33
+ "full_attention",
34
+ "full_attention",
35
+ "full_attention",
36
+ "full_attention",
37
+ "full_attention",
38
+ "full_attention",
39
+ "full_attention",
40
+ "full_attention",
41
+ "full_attention"
42
+ ],
43
+ "max_position_embeddings": 32768,
44
+ "max_window_layers": 28,
45
+ "model_type": "qwen2",
46
+ "num_attention_heads": 12,
47
+ "num_hidden_layers": 28,
48
+ "num_key_value_heads": 2,
49
+ "rms_norm_eps": 1e-06,
50
+ "rope_scaling": null,
51
+ "rope_theta": 1000000.0,
52
+ "sliding_window": null,
53
+ "tie_word_embeddings": true,
54
+ "transformers_version": "4.57.6",
55
+ "use_cache": true,
56
+ "use_sliding_window": false,
57
+ "vocab_size": 151936
58
+ }
checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1500/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1500/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:388fde385c7a9caab4e874ceebadb43d1d4d0775ab0fa5aa945056a5756ef197
3
+ size 4539424633
checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1500/pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9bbf69501d45d07ca050732b88839cd16d99cb785e04d1dc756b4ccdb092b597
3
+ size 3097074235
checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1500/rng_state_0.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d4aa03284661460f7588cf2ed51cae6f25c4941e23d7976dea3db0885dadb428
3
+ size 15429
checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1500/rng_state_1.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:97017e17d6838d8a09f84b48e28a5938a238a3e50e6a6671b6a2439f52a40fa6
3
+ size 15429
checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1500/rng_state_2.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f5a6d9e5e8614e5b7bcfddbab25b719e621f1ff67f400bc9a73dc5af42659928
3
+ size 15429
checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1500/rng_state_3.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:841e9f5079dd6c6b4131e29e2e887ebf784990e17a6d8d8c7131ffb11723d069
3
+ size 15429
checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1500/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:475539e52c6e83f2f5a22f5cabb5de882acee72c74676095cdf00d332b3d8c01
3
+ size 1465
checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1500/special_tokens_map.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>",
5
+ "<|object_ref_start|>",
6
+ "<|object_ref_end|>",
7
+ "<|box_start|>",
8
+ "<|box_end|>",
9
+ "<|quad_start|>",
10
+ "<|quad_end|>",
11
+ "<|vision_start|>",
12
+ "<|vision_end|>",
13
+ "<|vision_pad|>",
14
+ "<|image_pad|>",
15
+ "<|video_pad|>"
16
+ ],
17
+ "eos_token": {
18
+ "content": "<|endoftext|>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ },
24
+ "pad_token": {
25
+ "content": "<|endoftext|>",
26
+ "lstrip": false,
27
+ "normalized": false,
28
+ "rstrip": false,
29
+ "single_word": false
30
+ }
31
+ }
checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1500/thought_projector.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:74339125d1c951eff924a8924c572451fe9670e834978941b1b757921bc2b2a0
3
+ size 9445953
checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1500/tokenizer.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:83a790d654474f5dfe225f889afd0210313eb1083f942671f2c4b8e95a1c922b
3
+ size 11424004
checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1500/tokenizer_config.json ADDED
@@ -0,0 +1,295 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": false,
3
+ "add_prefix_space": false,
4
+ "added_tokens_decoder": {
5
+ "151643": {
6
+ "content": "<|endoftext|>",
7
+ "lstrip": false,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false,
11
+ "special": true
12
+ },
13
+ "151644": {
14
+ "content": "<|im_start|>",
15
+ "lstrip": false,
16
+ "normalized": false,
17
+ "rstrip": false,
18
+ "single_word": false,
19
+ "special": true
20
+ },
21
+ "151645": {
22
+ "content": "<|im_end|>",
23
+ "lstrip": false,
24
+ "normalized": false,
25
+ "rstrip": false,
26
+ "single_word": false,
27
+ "special": true
28
+ },
29
+ "151646": {
30
+ "content": "<|object_ref_start|>",
31
+ "lstrip": false,
32
+ "normalized": false,
33
+ "rstrip": false,
34
+ "single_word": false,
35
+ "special": true
36
+ },
37
+ "151647": {
38
+ "content": "<|object_ref_end|>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false,
43
+ "special": true
44
+ },
45
+ "151648": {
46
+ "content": "<|box_start|>",
47
+ "lstrip": false,
48
+ "normalized": false,
49
+ "rstrip": false,
50
+ "single_word": false,
51
+ "special": true
52
+ },
53
+ "151649": {
54
+ "content": "<|box_end|>",
55
+ "lstrip": false,
56
+ "normalized": false,
57
+ "rstrip": false,
58
+ "single_word": false,
59
+ "special": true
60
+ },
61
+ "151650": {
62
+ "content": "<|quad_start|>",
63
+ "lstrip": false,
64
+ "normalized": false,
65
+ "rstrip": false,
66
+ "single_word": false,
67
+ "special": true
68
+ },
69
+ "151651": {
70
+ "content": "<|quad_end|>",
71
+ "lstrip": false,
72
+ "normalized": false,
73
+ "rstrip": false,
74
+ "single_word": false,
75
+ "special": true
76
+ },
77
+ "151652": {
78
+ "content": "<|vision_start|>",
79
+ "lstrip": false,
80
+ "normalized": false,
81
+ "rstrip": false,
82
+ "single_word": false,
83
+ "special": true
84
+ },
85
+ "151653": {
86
+ "content": "<|vision_end|>",
87
+ "lstrip": false,
88
+ "normalized": false,
89
+ "rstrip": false,
90
+ "single_word": false,
91
+ "special": true
92
+ },
93
+ "151654": {
94
+ "content": "<|vision_pad|>",
95
+ "lstrip": false,
96
+ "normalized": false,
97
+ "rstrip": false,
98
+ "single_word": false,
99
+ "special": true
100
+ },
101
+ "151655": {
102
+ "content": "<|image_pad|>",
103
+ "lstrip": false,
104
+ "normalized": false,
105
+ "rstrip": false,
106
+ "single_word": false,
107
+ "special": true
108
+ },
109
+ "151656": {
110
+ "content": "<|video_pad|>",
111
+ "lstrip": false,
112
+ "normalized": false,
113
+ "rstrip": false,
114
+ "single_word": false,
115
+ "special": true
116
+ },
117
+ "151657": {
118
+ "content": "<tool_call>",
119
+ "lstrip": false,
120
+ "normalized": false,
121
+ "rstrip": false,
122
+ "single_word": false,
123
+ "special": false
124
+ },
125
+ "151658": {
126
+ "content": "</tool_call>",
127
+ "lstrip": false,
128
+ "normalized": false,
129
+ "rstrip": false,
130
+ "single_word": false,
131
+ "special": false
132
+ },
133
+ "151659": {
134
+ "content": "<|fim_prefix|>",
135
+ "lstrip": false,
136
+ "normalized": false,
137
+ "rstrip": false,
138
+ "single_word": false,
139
+ "special": false
140
+ },
141
+ "151660": {
142
+ "content": "<|fim_middle|>",
143
+ "lstrip": false,
144
+ "normalized": false,
145
+ "rstrip": false,
146
+ "single_word": false,
147
+ "special": false
148
+ },
149
+ "151661": {
150
+ "content": "<|fim_suffix|>",
151
+ "lstrip": false,
152
+ "normalized": false,
153
+ "rstrip": false,
154
+ "single_word": false,
155
+ "special": false
156
+ },
157
+ "151662": {
158
+ "content": "<|fim_pad|>",
159
+ "lstrip": false,
160
+ "normalized": false,
161
+ "rstrip": false,
162
+ "single_word": false,
163
+ "special": false
164
+ },
165
+ "151663": {
166
+ "content": "<|repo_name|>",
167
+ "lstrip": false,
168
+ "normalized": false,
169
+ "rstrip": false,
170
+ "single_word": false,
171
+ "special": false
172
+ },
173
+ "151664": {
174
+ "content": "<|file_sep|>",
175
+ "lstrip": false,
176
+ "normalized": false,
177
+ "rstrip": false,
178
+ "single_word": false,
179
+ "special": false
180
+ },
181
+ "151665": {
182
+ "content": "<|trace_context_start|>",
183
+ "lstrip": false,
184
+ "normalized": false,
185
+ "rstrip": false,
186
+ "single_word": false,
187
+ "special": true
188
+ },
189
+ "151666": {
190
+ "content": "<|call_sep|>",
191
+ "lstrip": false,
192
+ "normalized": false,
193
+ "rstrip": false,
194
+ "single_word": false,
195
+ "special": true
196
+ },
197
+ "151667": {
198
+ "content": "<|line_sep|>",
199
+ "lstrip": false,
200
+ "normalized": false,
201
+ "rstrip": false,
202
+ "single_word": false,
203
+ "special": true
204
+ },
205
+ "151668": {
206
+ "content": "<|return_sep|>",
207
+ "lstrip": false,
208
+ "normalized": false,
209
+ "rstrip": false,
210
+ "single_word": false,
211
+ "special": true
212
+ },
213
+ "151669": {
214
+ "content": "<|exception_sep|>",
215
+ "lstrip": false,
216
+ "normalized": false,
217
+ "rstrip": false,
218
+ "single_word": false,
219
+ "special": true
220
+ },
221
+ "151670": {
222
+ "content": "<|action_sep|>",
223
+ "lstrip": false,
224
+ "normalized": false,
225
+ "rstrip": false,
226
+ "single_word": false,
227
+ "special": true
228
+ },
229
+ "151671": {
230
+ "content": "<|arg_sep|>",
231
+ "lstrip": false,
232
+ "normalized": false,
233
+ "rstrip": false,
234
+ "single_word": false,
235
+ "special": true
236
+ },
237
+ "151672": {
238
+ "content": "<|frame_sep|>",
239
+ "lstrip": false,
240
+ "normalized": false,
241
+ "rstrip": false,
242
+ "single_word": false,
243
+ "special": true
244
+ },
245
+ "151673": {
246
+ "content": "<|end_of_text|>",
247
+ "lstrip": false,
248
+ "normalized": false,
249
+ "rstrip": false,
250
+ "single_word": false,
251
+ "special": true
252
+ },
253
+ "151674": {
254
+ "content": "<|latent_start|>",
255
+ "lstrip": false,
256
+ "normalized": false,
257
+ "rstrip": false,
258
+ "single_word": false,
259
+ "special": true
260
+ },
261
+ "151675": {
262
+ "content": "<|latent_end|>",
263
+ "lstrip": false,
264
+ "normalized": false,
265
+ "rstrip": false,
266
+ "single_word": false,
267
+ "special": true
268
+ }
269
+ },
270
+ "additional_special_tokens": [
271
+ "<|im_start|>",
272
+ "<|im_end|>",
273
+ "<|object_ref_start|>",
274
+ "<|object_ref_end|>",
275
+ "<|box_start|>",
276
+ "<|box_end|>",
277
+ "<|quad_start|>",
278
+ "<|quad_end|>",
279
+ "<|vision_start|>",
280
+ "<|vision_end|>",
281
+ "<|vision_pad|>",
282
+ "<|image_pad|>",
283
+ "<|video_pad|>"
284
+ ],
285
+ "bos_token": null,
286
+ "clean_up_tokenization_spaces": false,
287
+ "eos_token": "<|endoftext|>",
288
+ "errors": "replace",
289
+ "extra_special_tokens": {},
290
+ "model_max_length": 32768,
291
+ "pad_token": "<|endoftext|>",
292
+ "split_special_tokens": false,
293
+ "tokenizer_class": "Qwen2Tokenizer",
294
+ "unk_token": null
295
+ }
checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1500/trainer_state.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1500/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:536c3d53a07695cc7265e3fd9454ddd0c9804e9f9e367393c4c1e4c6530f3697
3
+ size 5905
checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-1500/vocab.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-300/added_tokens.json ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "</tool_call>": 151658,
3
+ "<tool_call>": 151657,
4
+ "<|action_sep|>": 151670,
5
+ "<|arg_sep|>": 151671,
6
+ "<|box_end|>": 151649,
7
+ "<|box_start|>": 151648,
8
+ "<|call_sep|>": 151666,
9
+ "<|end_of_text|>": 151673,
10
+ "<|endoftext|>": 151643,
11
+ "<|exception_sep|>": 151669,
12
+ "<|file_sep|>": 151664,
13
+ "<|fim_middle|>": 151660,
14
+ "<|fim_pad|>": 151662,
15
+ "<|fim_prefix|>": 151659,
16
+ "<|fim_suffix|>": 151661,
17
+ "<|frame_sep|>": 151672,
18
+ "<|im_end|>": 151645,
19
+ "<|im_start|>": 151644,
20
+ "<|image_pad|>": 151655,
21
+ "<|latent_end|>": 151675,
22
+ "<|latent_start|>": 151674,
23
+ "<|line_sep|>": 151667,
24
+ "<|object_ref_end|>": 151647,
25
+ "<|object_ref_start|>": 151646,
26
+ "<|quad_end|>": 151651,
27
+ "<|quad_start|>": 151650,
28
+ "<|repo_name|>": 151663,
29
+ "<|return_sep|>": 151668,
30
+ "<|trace_context_start|>": 151665,
31
+ "<|video_pad|>": 151656,
32
+ "<|vision_end|>": 151653,
33
+ "<|vision_pad|>": 151654,
34
+ "<|vision_start|>": 151652
35
+ }
checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-300/chat_template.jinja ADDED
@@ -0,0 +1,54 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {%- if tools %}
2
+ {{- '<|im_start|>system\n' }}
3
+ {%- if messages[0]['role'] == 'system' %}
4
+ {{- messages[0]['content'] }}
5
+ {%- else %}
6
+ {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}
7
+ {%- endif %}
8
+ {{- "\n\n# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
9
+ {%- for tool in tools %}
10
+ {{- "\n" }}
11
+ {{- tool | tojson }}
12
+ {%- endfor %}
13
+ {{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
14
+ {%- else %}
15
+ {%- if messages[0]['role'] == 'system' %}
16
+ {{- '<|im_start|>system\n' + messages[0]['content'] + '<|im_end|>\n' }}
17
+ {%- else %}
18
+ {{- '<|im_start|>system\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\n' }}
19
+ {%- endif %}
20
+ {%- endif %}
21
+ {%- for message in messages %}
22
+ {%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
23
+ {{- '<|im_start|>' + message.role + '\n' + message.content + '<|im_end|>' + '\n' }}
24
+ {%- elif message.role == "assistant" %}
25
+ {{- '<|im_start|>' + message.role }}
26
+ {%- if message.content %}
27
+ {{- '\n' + message.content }}
28
+ {%- endif %}
29
+ {%- for tool_call in message.tool_calls %}
30
+ {%- if tool_call.function is defined %}
31
+ {%- set tool_call = tool_call.function %}
32
+ {%- endif %}
33
+ {{- '\n<tool_call>\n{"name": "' }}
34
+ {{- tool_call.name }}
35
+ {{- '", "arguments": ' }}
36
+ {{- tool_call.arguments | tojson }}
37
+ {{- '}\n</tool_call>' }}
38
+ {%- endfor %}
39
+ {{- '<|im_end|>\n' }}
40
+ {%- elif message.role == "tool" %}
41
+ {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %}
42
+ {{- '<|im_start|>user' }}
43
+ {%- endif %}
44
+ {{- '\n<tool_response>\n' }}
45
+ {{- message.content }}
46
+ {{- '\n</tool_response>' }}
47
+ {%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
48
+ {{- '<|im_end|>\n' }}
49
+ {%- endif %}
50
+ {%- endif %}
51
+ {%- endfor %}
52
+ {%- if add_generation_prompt %}
53
+ {{- '<|im_start|>assistant\n' }}
54
+ {%- endif %}
checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-300/config.json ADDED
@@ -0,0 +1,58 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "Qwen2ForCausalLM"
4
+ ],
5
+ "attention_dropout": 0.0,
6
+ "bos_token_id": 151643,
7
+ "dtype": "bfloat16",
8
+ "eos_token_id": 151643,
9
+ "hidden_act": "silu",
10
+ "hidden_size": 1536,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 8960,
13
+ "layer_types": [
14
+ "full_attention",
15
+ "full_attention",
16
+ "full_attention",
17
+ "full_attention",
18
+ "full_attention",
19
+ "full_attention",
20
+ "full_attention",
21
+ "full_attention",
22
+ "full_attention",
23
+ "full_attention",
24
+ "full_attention",
25
+ "full_attention",
26
+ "full_attention",
27
+ "full_attention",
28
+ "full_attention",
29
+ "full_attention",
30
+ "full_attention",
31
+ "full_attention",
32
+ "full_attention",
33
+ "full_attention",
34
+ "full_attention",
35
+ "full_attention",
36
+ "full_attention",
37
+ "full_attention",
38
+ "full_attention",
39
+ "full_attention",
40
+ "full_attention",
41
+ "full_attention"
42
+ ],
43
+ "max_position_embeddings": 32768,
44
+ "max_window_layers": 28,
45
+ "model_type": "qwen2",
46
+ "num_attention_heads": 12,
47
+ "num_hidden_layers": 28,
48
+ "num_key_value_heads": 2,
49
+ "rms_norm_eps": 1e-06,
50
+ "rope_scaling": null,
51
+ "rope_theta": 1000000.0,
52
+ "sliding_window": null,
53
+ "tie_word_embeddings": true,
54
+ "transformers_version": "4.57.6",
55
+ "use_cache": true,
56
+ "use_sliding_window": false,
57
+ "vocab_size": 151936
58
+ }
checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-300/merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-300/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:187f212a560244bf7c2f09792e78a9e50a0bf1fbaeec0a7ed53992f22790eb71
3
+ size 4539424633
checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-300/pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bef820d756dca8e875e9d402f95e61cad73c4f1cfd8b0d4390488529f3f20f23
3
+ size 3097074235
checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-300/rng_state_0.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d4aa03284661460f7588cf2ed51cae6f25c4941e23d7976dea3db0885dadb428
3
+ size 15429
checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-300/rng_state_1.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:97017e17d6838d8a09f84b48e28a5938a238a3e50e6a6671b6a2439f52a40fa6
3
+ size 15429
checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-300/rng_state_2.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f5a6d9e5e8614e5b7bcfddbab25b719e621f1ff67f400bc9a73dc5af42659928
3
+ size 15429
checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-300/rng_state_3.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:841e9f5079dd6c6b4131e29e2e887ebf784990e17a6d8d8c7131ffb11723d069
3
+ size 15429
checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-300/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0a1cf7dc915fd8683200c4cab003d16bce9119c6dac8f6d21b4ba406ae5f3bfc
3
+ size 1465
checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-300/special_tokens_map.json ADDED
@@ -0,0 +1,31 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "additional_special_tokens": [
3
+ "<|im_start|>",
4
+ "<|im_end|>",
5
+ "<|object_ref_start|>",
6
+ "<|object_ref_end|>",
7
+ "<|box_start|>",
8
+ "<|box_end|>",
9
+ "<|quad_start|>",
10
+ "<|quad_end|>",
11
+ "<|vision_start|>",
12
+ "<|vision_end|>",
13
+ "<|vision_pad|>",
14
+ "<|image_pad|>",
15
+ "<|video_pad|>"
16
+ ],
17
+ "eos_token": {
18
+ "content": "<|endoftext|>",
19
+ "lstrip": false,
20
+ "normalized": false,
21
+ "rstrip": false,
22
+ "single_word": false
23
+ },
24
+ "pad_token": {
25
+ "content": "<|endoftext|>",
26
+ "lstrip": false,
27
+ "normalized": false,
28
+ "rstrip": false,
29
+ "single_word": false
30
+ }
31
+ }
checkpoints/codi_recon_delta_1.5b_ls2_rw0.03/checkpoint-300/thought_projector.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3188ed27f10bc655cc1acbc15d1a558b446ecbc20194a8ab932d062d05d357c7
3
+ size 9445953