aixk commited on
Commit
dc95039
·
verified ·
1 Parent(s): d201ddd

FastPlus-125M Slim3 Backup checkpoint-4200 step 4200

Browse files
checkpoint-4200/config.json ADDED
@@ -0,0 +1,18 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "FastPlus125mForCausalLM"
4
+ ],
5
+ "dtype": "float32",
6
+ "hidden_size": 768,
7
+ "hyperbolic_dim": 16,
8
+ "initializer_range": 0.02,
9
+ "intermediate_size": 2048,
10
+ "max_position_embeddings": 1024,
11
+ "model_type": "fastplus_125m",
12
+ "num_attention_heads": 12,
13
+ "num_hidden_layers": 16,
14
+ "tie_word_embeddings": false,
15
+ "transformers_version": "5.13.1",
16
+ "use_cache": false,
17
+ "vocab_size": 288
18
+ }
checkpoint-4200/generation_config.json ADDED
@@ -0,0 +1,6 @@
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "output_attentions": false,
4
+ "output_hidden_states": false,
5
+ "transformers_version": "5.13.1"
6
+ }
checkpoint-4200/model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:0c15c235ac840f6b580563a157086c1d201318c42169e17cd865f30ddf393c27
3
+ size 469876432
checkpoint-4200/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ce4aeda1628d444aefe7ce212c2bcd7d5ddddf786d571121b80fff0a8874434b
3
+ size 937546417
checkpoint-4200/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:61c19bab1174704a4a4441475683bf1270277af15d2e2c95e964789128e482c4
3
+ size 14645
checkpoint-4200/scaler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9779a733270277f15e820d84d3dfdfb3a66fd96b857f3f0109ac7f2b54244d67
3
+ size 1383
checkpoint-4200/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8ec7e13434c269df511d366b8745ff22ac7af2eea6f7b081082eb483109e79b4
3
+ size 8953
checkpoint-4200/trainer_state.json ADDED
@@ -0,0 +1,3394 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 0.06851200489371463,
6
+ "eval_steps": 500,
7
+ "global_step": 4200,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.00016312382117551104,
14
+ "grad_norm": 975.325927734375,
15
+ "learning_rate": 2.0000000000000003e-06,
16
+ "lorentz_dist_loss": 9.5816,
17
+ "loss": 9.5816,
18
+ "step": 10
19
+ },
20
+ {
21
+ "epoch": 0.0003262476423510221,
22
+ "grad_norm": 293.0099792480469,
23
+ "learning_rate": 6e-06,
24
+ "lorentz_dist_loss": 7.3236,
25
+ "loss": 7.3236,
26
+ "step": 20
27
+ },
28
+ {
29
+ "epoch": 0.0004893714635265331,
30
+ "grad_norm": 72.54100799560547,
31
+ "learning_rate": 1e-05,
32
+ "lorentz_dist_loss": 5.1966,
33
+ "loss": 5.1966,
34
+ "step": 30
35
+ },
36
+ {
37
+ "epoch": 0.0006524952847020442,
38
+ "grad_norm": 41.801544189453125,
39
+ "learning_rate": 1.4000000000000001e-05,
40
+ "lorentz_dist_loss": 4.5631,
41
+ "loss": 4.5631,
42
+ "step": 40
43
+ },
44
+ {
45
+ "epoch": 0.0008156191058775552,
46
+ "grad_norm": 73.2768325805664,
47
+ "learning_rate": 1.8e-05,
48
+ "lorentz_dist_loss": 4.4495,
49
+ "loss": 4.4495,
50
+ "step": 50
51
+ },
52
+ {
53
+ "epoch": 0.0009787429270530662,
54
+ "grad_norm": 73.16940307617188,
55
+ "learning_rate": 2.2000000000000003e-05,
56
+ "lorentz_dist_loss": 4.3664,
57
+ "loss": 4.3664,
58
+ "step": 60
59
+ },
60
+ {
61
+ "epoch": 0.0011418667482285772,
62
+ "grad_norm": 36.444725036621094,
63
+ "learning_rate": 2.6000000000000002e-05,
64
+ "lorentz_dist_loss": 4.2937,
65
+ "loss": 4.2937,
66
+ "step": 70
67
+ },
68
+ {
69
+ "epoch": 0.0013049905694040883,
70
+ "grad_norm": 75.46732330322266,
71
+ "learning_rate": 3e-05,
72
+ "lorentz_dist_loss": 4.2271,
73
+ "loss": 4.2271,
74
+ "step": 80
75
+ },
76
+ {
77
+ "epoch": 0.0014681143905795992,
78
+ "grad_norm": 50.93342971801758,
79
+ "learning_rate": 3.4000000000000007e-05,
80
+ "lorentz_dist_loss": 4.1639,
81
+ "loss": 4.1639,
82
+ "step": 90
83
+ },
84
+ {
85
+ "epoch": 0.0016312382117551103,
86
+ "grad_norm": 59.14952087402344,
87
+ "learning_rate": 3.8e-05,
88
+ "lorentz_dist_loss": 4.0983,
89
+ "loss": 4.0983,
90
+ "step": 100
91
+ },
92
+ {
93
+ "epoch": 0.0017943620329306214,
94
+ "grad_norm": 474.78912353515625,
95
+ "learning_rate": 4.2e-05,
96
+ "lorentz_dist_loss": 4.0705,
97
+ "loss": 4.0705,
98
+ "step": 110
99
+ },
100
+ {
101
+ "epoch": 0.0019574858541061323,
102
+ "grad_norm": 170.21710205078125,
103
+ "learning_rate": 4.600000000000001e-05,
104
+ "lorentz_dist_loss": 4.0034,
105
+ "loss": 4.0034,
106
+ "step": 120
107
+ },
108
+ {
109
+ "epoch": 0.0021206096752816434,
110
+ "grad_norm": 211.37692260742188,
111
+ "learning_rate": 5e-05,
112
+ "lorentz_dist_loss": 4.4203,
113
+ "loss": 4.4203,
114
+ "step": 130
115
+ },
116
+ {
117
+ "epoch": 0.0022837334964571545,
118
+ "grad_norm": 382.8274841308594,
119
+ "learning_rate": 5.360000000000001e-05,
120
+ "lorentz_dist_loss": 4.935,
121
+ "loss": 4.935,
122
+ "step": 140
123
+ },
124
+ {
125
+ "epoch": 0.0024468573176326656,
126
+ "grad_norm": 724.3408203125,
127
+ "learning_rate": 5.76e-05,
128
+ "lorentz_dist_loss": 4.8592,
129
+ "loss": 4.8592,
130
+ "step": 150
131
+ },
132
+ {
133
+ "epoch": 0.0026099811388081767,
134
+ "grad_norm": 514.2474365234375,
135
+ "learning_rate": 6.16e-05,
136
+ "lorentz_dist_loss": 4.8113,
137
+ "loss": 4.8114,
138
+ "step": 160
139
+ },
140
+ {
141
+ "epoch": 0.002773104959983688,
142
+ "grad_norm": 461.2664794921875,
143
+ "learning_rate": 6.560000000000001e-05,
144
+ "lorentz_dist_loss": 4.6446,
145
+ "loss": 4.6446,
146
+ "step": 170
147
+ },
148
+ {
149
+ "epoch": 0.0029362287811591985,
150
+ "grad_norm": 2451.06103515625,
151
+ "learning_rate": 6.92e-05,
152
+ "lorentz_dist_loss": 4.6149,
153
+ "loss": 4.6149,
154
+ "step": 180
155
+ },
156
+ {
157
+ "epoch": 0.0030993526023347095,
158
+ "grad_norm": 178.4110107421875,
159
+ "learning_rate": 7.32e-05,
160
+ "lorentz_dist_loss": 4.8814,
161
+ "loss": 4.8814,
162
+ "step": 190
163
+ },
164
+ {
165
+ "epoch": 0.0032624764235102206,
166
+ "grad_norm": 282.41851806640625,
167
+ "learning_rate": 7.72e-05,
168
+ "lorentz_dist_loss": 4.7677,
169
+ "loss": 4.7677,
170
+ "step": 200
171
+ },
172
+ {
173
+ "epoch": 0.0034256002446857317,
174
+ "grad_norm": 323.51165771484375,
175
+ "learning_rate": 8.120000000000001e-05,
176
+ "lorentz_dist_loss": 4.8592,
177
+ "loss": 4.8592,
178
+ "step": 210
179
+ },
180
+ {
181
+ "epoch": 0.003588724065861243,
182
+ "grad_norm": 488.3802185058594,
183
+ "learning_rate": 8.52e-05,
184
+ "lorentz_dist_loss": 4.6555,
185
+ "loss": 4.6555,
186
+ "step": 220
187
+ },
188
+ {
189
+ "epoch": 0.003751847887036754,
190
+ "grad_norm": 1635.6240234375,
191
+ "learning_rate": 8.92e-05,
192
+ "lorentz_dist_loss": 4.6658,
193
+ "loss": 4.6658,
194
+ "step": 230
195
+ },
196
+ {
197
+ "epoch": 0.003914971708212265,
198
+ "grad_norm": 34.987091064453125,
199
+ "learning_rate": 9.320000000000002e-05,
200
+ "lorentz_dist_loss": 4.5688,
201
+ "loss": 4.5688,
202
+ "step": 240
203
+ },
204
+ {
205
+ "epoch": 0.004078095529387776,
206
+ "grad_norm": 591.4542846679688,
207
+ "learning_rate": 9.72e-05,
208
+ "lorentz_dist_loss": 4.5229,
209
+ "loss": 4.5229,
210
+ "step": 250
211
+ },
212
+ {
213
+ "epoch": 0.004241219350563287,
214
+ "grad_norm": 1770.302490234375,
215
+ "learning_rate": 0.00010120000000000001,
216
+ "lorentz_dist_loss": 4.454,
217
+ "loss": 4.4541,
218
+ "step": 260
219
+ },
220
+ {
221
+ "epoch": 0.004404343171738798,
222
+ "grad_norm": 263.6458435058594,
223
+ "learning_rate": 0.00010520000000000001,
224
+ "lorentz_dist_loss": 4.6019,
225
+ "loss": 4.6019,
226
+ "step": 270
227
+ },
228
+ {
229
+ "epoch": 0.004567466992914309,
230
+ "grad_norm": 748.0237426757812,
231
+ "learning_rate": 0.00010920000000000001,
232
+ "lorentz_dist_loss": 4.3472,
233
+ "loss": 4.3472,
234
+ "step": 280
235
+ },
236
+ {
237
+ "epoch": 0.00473059081408982,
238
+ "grad_norm": 649.262939453125,
239
+ "learning_rate": 0.0001132,
240
+ "lorentz_dist_loss": 4.2973,
241
+ "loss": 4.2973,
242
+ "step": 290
243
+ },
244
+ {
245
+ "epoch": 0.004893714635265331,
246
+ "grad_norm": 399.930419921875,
247
+ "learning_rate": 0.0001172,
248
+ "lorentz_dist_loss": 4.222,
249
+ "loss": 4.222,
250
+ "step": 300
251
+ },
252
+ {
253
+ "epoch": 0.005056838456440842,
254
+ "grad_norm": 690.51123046875,
255
+ "learning_rate": 0.0001212,
256
+ "lorentz_dist_loss": 4.1459,
257
+ "loss": 4.1459,
258
+ "step": 310
259
+ },
260
+ {
261
+ "epoch": 0.005219962277616353,
262
+ "grad_norm": 445.8392333984375,
263
+ "learning_rate": 0.0001252,
264
+ "lorentz_dist_loss": 4.0893,
265
+ "loss": 4.0893,
266
+ "step": 320
267
+ },
268
+ {
269
+ "epoch": 0.005383086098791864,
270
+ "grad_norm": 63.304771423339844,
271
+ "learning_rate": 0.00012920000000000002,
272
+ "lorentz_dist_loss": 4.0252,
273
+ "loss": 4.0252,
274
+ "step": 330
275
+ },
276
+ {
277
+ "epoch": 0.005546209919967376,
278
+ "grad_norm": 176.8406219482422,
279
+ "learning_rate": 0.0001332,
280
+ "lorentz_dist_loss": 4.0738,
281
+ "loss": 4.0738,
282
+ "step": 340
283
+ },
284
+ {
285
+ "epoch": 0.005709333741142886,
286
+ "grad_norm": 717.83984375,
287
+ "learning_rate": 0.00013720000000000003,
288
+ "lorentz_dist_loss": 4.0349,
289
+ "loss": 4.0349,
290
+ "step": 350
291
+ },
292
+ {
293
+ "epoch": 0.005872457562318397,
294
+ "grad_norm": 20.40896987915039,
295
+ "learning_rate": 0.0001412,
296
+ "lorentz_dist_loss": 4.0835,
297
+ "loss": 4.0835,
298
+ "step": 360
299
+ },
300
+ {
301
+ "epoch": 0.0060355813834939084,
302
+ "grad_norm": 403.02191162109375,
303
+ "learning_rate": 0.0001452,
304
+ "lorentz_dist_loss": 4.1135,
305
+ "loss": 4.1135,
306
+ "step": 370
307
+ },
308
+ {
309
+ "epoch": 0.006198705204669419,
310
+ "grad_norm": 401.93157958984375,
311
+ "learning_rate": 0.0001492,
312
+ "lorentz_dist_loss": 3.997,
313
+ "loss": 3.997,
314
+ "step": 380
315
+ },
316
+ {
317
+ "epoch": 0.006361829025844931,
318
+ "grad_norm": 236.8088836669922,
319
+ "learning_rate": 0.0001532,
320
+ "lorentz_dist_loss": 3.9084,
321
+ "loss": 3.9084,
322
+ "step": 390
323
+ },
324
+ {
325
+ "epoch": 0.006524952847020441,
326
+ "grad_norm": 333.0975341796875,
327
+ "learning_rate": 0.00015720000000000003,
328
+ "lorentz_dist_loss": 3.8032,
329
+ "loss": 3.8032,
330
+ "step": 400
331
+ },
332
+ {
333
+ "epoch": 0.006688076668195953,
334
+ "grad_norm": 193.1577911376953,
335
+ "learning_rate": 0.00016120000000000002,
336
+ "lorentz_dist_loss": 3.7856,
337
+ "loss": 3.7856,
338
+ "step": 410
339
+ },
340
+ {
341
+ "epoch": 0.0068512004893714635,
342
+ "grad_norm": 403.1903991699219,
343
+ "learning_rate": 0.0001652,
344
+ "lorentz_dist_loss": 3.7765,
345
+ "loss": 3.7765,
346
+ "step": 420
347
+ },
348
+ {
349
+ "epoch": 0.007014324310546974,
350
+ "grad_norm": 145.6698455810547,
351
+ "learning_rate": 0.0001692,
352
+ "lorentz_dist_loss": 3.8253,
353
+ "loss": 3.8254,
354
+ "step": 430
355
+ },
356
+ {
357
+ "epoch": 0.007177448131722486,
358
+ "grad_norm": 139.14332580566406,
359
+ "learning_rate": 0.0001732,
360
+ "lorentz_dist_loss": 3.6706,
361
+ "loss": 3.6706,
362
+ "step": 440
363
+ },
364
+ {
365
+ "epoch": 0.007340571952897996,
366
+ "grad_norm": 143.68173217773438,
367
+ "learning_rate": 0.0001772,
368
+ "lorentz_dist_loss": 3.6091,
369
+ "loss": 3.6091,
370
+ "step": 450
371
+ },
372
+ {
373
+ "epoch": 0.007503695774073508,
374
+ "grad_norm": 283.06951904296875,
375
+ "learning_rate": 0.0001812,
376
+ "lorentz_dist_loss": 3.5538,
377
+ "loss": 3.5538,
378
+ "step": 460
379
+ },
380
+ {
381
+ "epoch": 0.0076668195952490185,
382
+ "grad_norm": 149.26361083984375,
383
+ "learning_rate": 0.00018520000000000003,
384
+ "lorentz_dist_loss": 3.552,
385
+ "loss": 3.552,
386
+ "step": 470
387
+ },
388
+ {
389
+ "epoch": 0.00782994341642453,
390
+ "grad_norm": 221.97705078125,
391
+ "learning_rate": 0.0001892,
392
+ "lorentz_dist_loss": 3.5334,
393
+ "loss": 3.5334,
394
+ "step": 480
395
+ },
396
+ {
397
+ "epoch": 0.007993067237600042,
398
+ "grad_norm": 220.04769897460938,
399
+ "learning_rate": 0.0001932,
400
+ "lorentz_dist_loss": 3.4014,
401
+ "loss": 3.4014,
402
+ "step": 490
403
+ },
404
+ {
405
+ "epoch": 0.008156191058775552,
406
+ "grad_norm": 343.5147399902344,
407
+ "learning_rate": 0.0001972,
408
+ "lorentz_dist_loss": 3.362,
409
+ "loss": 3.362,
410
+ "step": 500
411
+ },
412
+ {
413
+ "epoch": 0.008319314879951063,
414
+ "grad_norm": 126.69039916992188,
415
+ "learning_rate": 0.0002012,
416
+ "lorentz_dist_loss": 3.3826,
417
+ "loss": 3.3826,
418
+ "step": 510
419
+ },
420
+ {
421
+ "epoch": 0.008482438701126574,
422
+ "grad_norm": 781.224853515625,
423
+ "learning_rate": 0.00020520000000000003,
424
+ "lorentz_dist_loss": 3.3692,
425
+ "loss": 3.3692,
426
+ "step": 520
427
+ },
428
+ {
429
+ "epoch": 0.008645562522302084,
430
+ "grad_norm": 423.0216369628906,
431
+ "learning_rate": 0.00020920000000000002,
432
+ "lorentz_dist_loss": 3.483,
433
+ "loss": 3.483,
434
+ "step": 530
435
+ },
436
+ {
437
+ "epoch": 0.008808686343477597,
438
+ "grad_norm": 324.79864501953125,
439
+ "learning_rate": 0.00021320000000000003,
440
+ "lorentz_dist_loss": 3.4146,
441
+ "loss": 3.4146,
442
+ "step": 540
443
+ },
444
+ {
445
+ "epoch": 0.008971810164653107,
446
+ "grad_norm": 43.01991271972656,
447
+ "learning_rate": 0.00021720000000000002,
448
+ "lorentz_dist_loss": 3.3331,
449
+ "loss": 3.3331,
450
+ "step": 550
451
+ },
452
+ {
453
+ "epoch": 0.009134933985828618,
454
+ "grad_norm": 43.33183288574219,
455
+ "learning_rate": 0.00022120000000000004,
456
+ "lorentz_dist_loss": 3.3883,
457
+ "loss": 3.3883,
458
+ "step": 560
459
+ },
460
+ {
461
+ "epoch": 0.009298057807004129,
462
+ "grad_norm": 451.94842529296875,
463
+ "learning_rate": 0.0002252,
464
+ "lorentz_dist_loss": 3.2428,
465
+ "loss": 3.2428,
466
+ "step": 570
467
+ },
468
+ {
469
+ "epoch": 0.00946118162817964,
470
+ "grad_norm": 201.0331268310547,
471
+ "learning_rate": 0.0002292,
472
+ "lorentz_dist_loss": 3.4113,
473
+ "loss": 3.4113,
474
+ "step": 580
475
+ },
476
+ {
477
+ "epoch": 0.009624305449355152,
478
+ "grad_norm": 28.471437454223633,
479
+ "learning_rate": 0.0002332,
480
+ "lorentz_dist_loss": 3.2973,
481
+ "loss": 3.2974,
482
+ "step": 590
483
+ },
484
+ {
485
+ "epoch": 0.009787429270530662,
486
+ "grad_norm": 30.870899200439453,
487
+ "learning_rate": 0.0002372,
488
+ "lorentz_dist_loss": 3.275,
489
+ "loss": 3.275,
490
+ "step": 600
491
+ },
492
+ {
493
+ "epoch": 0.009950553091706173,
494
+ "grad_norm": 117.2140884399414,
495
+ "learning_rate": 0.0002412,
496
+ "lorentz_dist_loss": 3.1097,
497
+ "loss": 3.1097,
498
+ "step": 610
499
+ },
500
+ {
501
+ "epoch": 0.010113676912881684,
502
+ "grad_norm": 125.36162567138672,
503
+ "learning_rate": 0.0002452,
504
+ "lorentz_dist_loss": 3.0259,
505
+ "loss": 3.0259,
506
+ "step": 620
507
+ },
508
+ {
509
+ "epoch": 0.010276800734057196,
510
+ "grad_norm": 70.28172302246094,
511
+ "learning_rate": 0.0002492,
512
+ "lorentz_dist_loss": 2.9368,
513
+ "loss": 2.9368,
514
+ "step": 630
515
+ },
516
+ {
517
+ "epoch": 0.010439924555232707,
518
+ "grad_norm": 165.5251007080078,
519
+ "learning_rate": 0.00025320000000000003,
520
+ "lorentz_dist_loss": 2.9097,
521
+ "loss": 2.9097,
522
+ "step": 640
523
+ },
524
+ {
525
+ "epoch": 0.010603048376408217,
526
+ "grad_norm": 250.50238037109375,
527
+ "learning_rate": 0.0002572,
528
+ "lorentz_dist_loss": 2.8942,
529
+ "loss": 2.8942,
530
+ "step": 650
531
+ },
532
+ {
533
+ "epoch": 0.010766172197583728,
534
+ "grad_norm": 197.7836151123047,
535
+ "learning_rate": 0.0002612,
536
+ "lorentz_dist_loss": 2.9153,
537
+ "loss": 2.9153,
538
+ "step": 660
539
+ },
540
+ {
541
+ "epoch": 0.010929296018759239,
542
+ "grad_norm": 140.39794921875,
543
+ "learning_rate": 0.00026520000000000005,
544
+ "lorentz_dist_loss": 2.8061,
545
+ "loss": 2.8061,
546
+ "step": 670
547
+ },
548
+ {
549
+ "epoch": 0.011092419839934751,
550
+ "grad_norm": 161.92149353027344,
551
+ "learning_rate": 0.00026920000000000004,
552
+ "lorentz_dist_loss": 2.7737,
553
+ "loss": 2.7737,
554
+ "step": 680
555
+ },
556
+ {
557
+ "epoch": 0.011255543661110262,
558
+ "grad_norm": 206.2097625732422,
559
+ "learning_rate": 0.0002732,
560
+ "lorentz_dist_loss": 2.743,
561
+ "loss": 2.743,
562
+ "step": 690
563
+ },
564
+ {
565
+ "epoch": 0.011418667482285772,
566
+ "grad_norm": 145.99630737304688,
567
+ "learning_rate": 0.0002772,
568
+ "lorentz_dist_loss": 2.7494,
569
+ "loss": 2.7494,
570
+ "step": 700
571
+ },
572
+ {
573
+ "epoch": 0.011581791303461283,
574
+ "grad_norm": 114.05259704589844,
575
+ "learning_rate": 0.0002812,
576
+ "lorentz_dist_loss": 2.6632,
577
+ "loss": 2.6632,
578
+ "step": 710
579
+ },
580
+ {
581
+ "epoch": 0.011744915124636794,
582
+ "grad_norm": 217.01339721679688,
583
+ "learning_rate": 0.0002852,
584
+ "lorentz_dist_loss": 2.666,
585
+ "loss": 2.666,
586
+ "step": 720
587
+ },
588
+ {
589
+ "epoch": 0.011908038945812306,
590
+ "grad_norm": 87.8516845703125,
591
+ "learning_rate": 0.0002892,
592
+ "lorentz_dist_loss": 2.6399,
593
+ "loss": 2.6399,
594
+ "step": 730
595
+ },
596
+ {
597
+ "epoch": 0.012071162766987817,
598
+ "grad_norm": 208.8007049560547,
599
+ "learning_rate": 0.0002932,
600
+ "lorentz_dist_loss": 2.6058,
601
+ "loss": 2.6058,
602
+ "step": 740
603
+ },
604
+ {
605
+ "epoch": 0.012234286588163328,
606
+ "grad_norm": 111.89429473876953,
607
+ "learning_rate": 0.0002972,
608
+ "lorentz_dist_loss": 2.5916,
609
+ "loss": 2.5916,
610
+ "step": 750
611
+ },
612
+ {
613
+ "epoch": 0.012397410409338838,
614
+ "grad_norm": 220.27536010742188,
615
+ "learning_rate": 0.0003012,
616
+ "lorentz_dist_loss": 2.5833,
617
+ "loss": 2.5833,
618
+ "step": 760
619
+ },
620
+ {
621
+ "epoch": 0.01256053423051435,
622
+ "grad_norm": 139.5320587158203,
623
+ "learning_rate": 0.00030520000000000005,
624
+ "lorentz_dist_loss": 2.8306,
625
+ "loss": 2.8306,
626
+ "step": 770
627
+ },
628
+ {
629
+ "epoch": 0.012723658051689861,
630
+ "grad_norm": 211.00057983398438,
631
+ "learning_rate": 0.00030920000000000003,
632
+ "lorentz_dist_loss": 2.8208,
633
+ "loss": 2.8209,
634
+ "step": 780
635
+ },
636
+ {
637
+ "epoch": 0.012886781872865372,
638
+ "grad_norm": 145.66366577148438,
639
+ "learning_rate": 0.0003132,
640
+ "lorentz_dist_loss": 2.6853,
641
+ "loss": 2.6853,
642
+ "step": 790
643
+ },
644
+ {
645
+ "epoch": 0.013049905694040883,
646
+ "grad_norm": 184.31776428222656,
647
+ "learning_rate": 0.0003172,
648
+ "lorentz_dist_loss": 2.5738,
649
+ "loss": 2.5738,
650
+ "step": 800
651
+ },
652
+ {
653
+ "epoch": 0.013213029515216393,
654
+ "grad_norm": 93.25274658203125,
655
+ "learning_rate": 0.00032120000000000006,
656
+ "lorentz_dist_loss": 2.534,
657
+ "loss": 2.534,
658
+ "step": 810
659
+ },
660
+ {
661
+ "epoch": 0.013376153336391906,
662
+ "grad_norm": 107.52226257324219,
663
+ "learning_rate": 0.0003252,
664
+ "lorentz_dist_loss": 2.4796,
665
+ "loss": 2.4797,
666
+ "step": 820
667
+ },
668
+ {
669
+ "epoch": 0.013539277157567416,
670
+ "grad_norm": 102.1654281616211,
671
+ "learning_rate": 0.0003292,
672
+ "lorentz_dist_loss": 2.4513,
673
+ "loss": 2.4513,
674
+ "step": 830
675
+ },
676
+ {
677
+ "epoch": 0.013702400978742927,
678
+ "grad_norm": 75.30718994140625,
679
+ "learning_rate": 0.0003332,
680
+ "lorentz_dist_loss": 2.4967,
681
+ "loss": 2.4967,
682
+ "step": 840
683
+ },
684
+ {
685
+ "epoch": 0.013865524799918438,
686
+ "grad_norm": 81.88117980957031,
687
+ "learning_rate": 0.0003372,
688
+ "lorentz_dist_loss": 2.4353,
689
+ "loss": 2.4353,
690
+ "step": 850
691
+ },
692
+ {
693
+ "epoch": 0.014028648621093948,
694
+ "grad_norm": 90.72471618652344,
695
+ "learning_rate": 0.0003412,
696
+ "lorentz_dist_loss": 2.3932,
697
+ "loss": 2.3932,
698
+ "step": 860
699
+ },
700
+ {
701
+ "epoch": 0.01419177244226946,
702
+ "grad_norm": 54.842620849609375,
703
+ "learning_rate": 0.0003452,
704
+ "lorentz_dist_loss": 2.3897,
705
+ "loss": 2.3897,
706
+ "step": 870
707
+ },
708
+ {
709
+ "epoch": 0.014354896263444971,
710
+ "grad_norm": 76.8193588256836,
711
+ "learning_rate": 0.00034920000000000003,
712
+ "lorentz_dist_loss": 2.4493,
713
+ "loss": 2.4493,
714
+ "step": 880
715
+ },
716
+ {
717
+ "epoch": 0.014518020084620482,
718
+ "grad_norm": 61.33880615234375,
719
+ "learning_rate": 0.0003532,
720
+ "lorentz_dist_loss": 2.3808,
721
+ "loss": 2.3808,
722
+ "step": 890
723
+ },
724
+ {
725
+ "epoch": 0.014681143905795993,
726
+ "grad_norm": 48.34850311279297,
727
+ "learning_rate": 0.0003572,
728
+ "lorentz_dist_loss": 2.3156,
729
+ "loss": 2.3156,
730
+ "step": 900
731
+ },
732
+ {
733
+ "epoch": 0.014844267726971505,
734
+ "grad_norm": 67.24657440185547,
735
+ "learning_rate": 0.00036120000000000005,
736
+ "lorentz_dist_loss": 2.2695,
737
+ "loss": 2.2695,
738
+ "step": 910
739
+ },
740
+ {
741
+ "epoch": 0.015007391548147016,
742
+ "grad_norm": 58.218509674072266,
743
+ "learning_rate": 0.00036520000000000004,
744
+ "lorentz_dist_loss": 2.3186,
745
+ "loss": 2.3186,
746
+ "step": 920
747
+ },
748
+ {
749
+ "epoch": 0.015170515369322526,
750
+ "grad_norm": 59.417564392089844,
751
+ "learning_rate": 0.00036920000000000003,
752
+ "lorentz_dist_loss": 2.2914,
753
+ "loss": 2.2914,
754
+ "step": 930
755
+ },
756
+ {
757
+ "epoch": 0.015333639190498037,
758
+ "grad_norm": 102.58467864990234,
759
+ "learning_rate": 0.0003732,
760
+ "lorentz_dist_loss": 2.2685,
761
+ "loss": 2.2685,
762
+ "step": 940
763
+ },
764
+ {
765
+ "epoch": 0.015496763011673548,
766
+ "grad_norm": 112.73247528076172,
767
+ "learning_rate": 0.0003772,
768
+ "lorentz_dist_loss": 2.2418,
769
+ "loss": 2.2418,
770
+ "step": 950
771
+ },
772
+ {
773
+ "epoch": 0.01565988683284906,
774
+ "grad_norm": 83.7464828491211,
775
+ "learning_rate": 0.0003812,
776
+ "lorentz_dist_loss": 2.2237,
777
+ "loss": 2.2237,
778
+ "step": 960
779
+ },
780
+ {
781
+ "epoch": 0.01582301065402457,
782
+ "grad_norm": 37.187599182128906,
783
+ "learning_rate": 0.0003852,
784
+ "lorentz_dist_loss": 2.2305,
785
+ "loss": 2.2306,
786
+ "step": 970
787
+ },
788
+ {
789
+ "epoch": 0.015986134475200083,
790
+ "grad_norm": 19.936555862426758,
791
+ "learning_rate": 0.00038920000000000003,
792
+ "lorentz_dist_loss": 2.2152,
793
+ "loss": 2.2152,
794
+ "step": 980
795
+ },
796
+ {
797
+ "epoch": 0.016149258296375594,
798
+ "grad_norm": 63.21118927001953,
799
+ "learning_rate": 0.0003932,
800
+ "lorentz_dist_loss": 2.2341,
801
+ "loss": 2.2341,
802
+ "step": 990
803
+ },
804
+ {
805
+ "epoch": 0.016312382117551105,
806
+ "grad_norm": 27.333959579467773,
807
+ "learning_rate": 0.0003972,
808
+ "lorentz_dist_loss": 2.2367,
809
+ "loss": 2.2367,
810
+ "step": 1000
811
+ },
812
+ {
813
+ "epoch": 0.016475505938726615,
814
+ "grad_norm": 23.82075309753418,
815
+ "learning_rate": 0.0003999999975574132,
816
+ "lorentz_dist_loss": 2.2685,
817
+ "loss": 2.2685,
818
+ "step": 1010
819
+ },
820
+ {
821
+ "epoch": 0.016638629759902126,
822
+ "grad_norm": 36.29345703125,
823
+ "learning_rate": 0.00039999995413364867,
824
+ "lorentz_dist_loss": 2.3982,
825
+ "loss": 2.3982,
826
+ "step": 1020
827
+ },
828
+ {
829
+ "epoch": 0.016801753581077637,
830
+ "grad_norm": 103.53618621826172,
831
+ "learning_rate": 0.00039999985643019017,
832
+ "lorentz_dist_loss": 2.2034,
833
+ "loss": 2.2034,
834
+ "step": 1030
835
+ },
836
+ {
837
+ "epoch": 0.016964877402253147,
838
+ "grad_norm": 18.51886558532715,
839
+ "learning_rate": 0.00039999970444706405,
840
+ "lorentz_dist_loss": 2.1969,
841
+ "loss": 2.1969,
842
+ "step": 1040
843
+ },
844
+ {
845
+ "epoch": 0.017128001223428658,
846
+ "grad_norm": 17.9195613861084,
847
+ "learning_rate": 0.00039999949818431157,
848
+ "lorentz_dist_loss": 2.1583,
849
+ "loss": 2.1583,
850
+ "step": 1050
851
+ },
852
+ {
853
+ "epoch": 0.01729112504460417,
854
+ "grad_norm": 34.02274703979492,
855
+ "learning_rate": 0.0003999992376419887,
856
+ "lorentz_dist_loss": 2.1352,
857
+ "loss": 2.1352,
858
+ "step": 1060
859
+ },
860
+ {
861
+ "epoch": 0.01745424886577968,
862
+ "grad_norm": 23.795398712158203,
863
+ "learning_rate": 0.00039999892282016624,
864
+ "lorentz_dist_loss": 2.1905,
865
+ "loss": 2.1905,
866
+ "step": 1070
867
+ },
868
+ {
869
+ "epoch": 0.017617372686955193,
870
+ "grad_norm": 47.32483673095703,
871
+ "learning_rate": 0.00039999855371892964,
872
+ "lorentz_dist_loss": 2.1255,
873
+ "loss": 2.1255,
874
+ "step": 1080
875
+ },
876
+ {
877
+ "epoch": 0.017780496508130704,
878
+ "grad_norm": 16.36848258972168,
879
+ "learning_rate": 0.00039999813033837897,
880
+ "lorentz_dist_loss": 2.1038,
881
+ "loss": 2.1038,
882
+ "step": 1090
883
+ },
884
+ {
885
+ "epoch": 0.017943620329306215,
886
+ "grad_norm": 23.354665756225586,
887
+ "learning_rate": 0.00039999765267862916,
888
+ "lorentz_dist_loss": 2.0958,
889
+ "loss": 2.0958,
890
+ "step": 1100
891
+ },
892
+ {
893
+ "epoch": 0.018106744150481725,
894
+ "grad_norm": 51.07558059692383,
895
+ "learning_rate": 0.0003999971207398099,
896
+ "lorentz_dist_loss": 2.0988,
897
+ "loss": 2.0988,
898
+ "step": 1110
899
+ },
900
+ {
901
+ "epoch": 0.018269867971657236,
902
+ "grad_norm": 78.03604888916016,
903
+ "learning_rate": 0.0003999965345220655,
904
+ "lorentz_dist_loss": 2.0964,
905
+ "loss": 2.0964,
906
+ "step": 1120
907
+ },
908
+ {
909
+ "epoch": 0.018432991792832747,
910
+ "grad_norm": 15.133450508117676,
911
+ "learning_rate": 0.0003999958940255551,
912
+ "lorentz_dist_loss": 2.0902,
913
+ "loss": 2.0902,
914
+ "step": 1130
915
+ },
916
+ {
917
+ "epoch": 0.018596115614008257,
918
+ "grad_norm": 17.283864974975586,
919
+ "learning_rate": 0.0003999951992504525,
920
+ "lorentz_dist_loss": 2.0604,
921
+ "loss": 2.0604,
922
+ "step": 1140
923
+ },
924
+ {
925
+ "epoch": 0.018759239435183768,
926
+ "grad_norm": 79.28215789794922,
927
+ "learning_rate": 0.00039999445019694627,
928
+ "lorentz_dist_loss": 2.1325,
929
+ "loss": 2.1325,
930
+ "step": 1150
931
+ },
932
+ {
933
+ "epoch": 0.01892236325635928,
934
+ "grad_norm": 48.395721435546875,
935
+ "learning_rate": 0.0003999936468652397,
936
+ "lorentz_dist_loss": 2.0425,
937
+ "loss": 2.0425,
938
+ "step": 1160
939
+ },
940
+ {
941
+ "epoch": 0.019085487077534793,
942
+ "grad_norm": 16.94162368774414,
943
+ "learning_rate": 0.0003999927892555509,
944
+ "lorentz_dist_loss": 2.0525,
945
+ "loss": 2.0525,
946
+ "step": 1170
947
+ },
948
+ {
949
+ "epoch": 0.019248610898710303,
950
+ "grad_norm": 40.02546310424805,
951
+ "learning_rate": 0.0003999918773681125,
952
+ "lorentz_dist_loss": 2.0309,
953
+ "loss": 2.0309,
954
+ "step": 1180
955
+ },
956
+ {
957
+ "epoch": 0.019411734719885814,
958
+ "grad_norm": 38.461429595947266,
959
+ "learning_rate": 0.00039999091120317197,
960
+ "lorentz_dist_loss": 2.0554,
961
+ "loss": 2.0554,
962
+ "step": 1190
963
+ },
964
+ {
965
+ "epoch": 0.019574858541061325,
966
+ "grad_norm": 42.20437240600586,
967
+ "learning_rate": 0.0003999898907609916,
968
+ "lorentz_dist_loss": 2.0195,
969
+ "loss": 2.0195,
970
+ "step": 1200
971
+ },
972
+ {
973
+ "epoch": 0.019737982362236835,
974
+ "grad_norm": 15.9944429397583,
975
+ "learning_rate": 0.0003999888160418484,
976
+ "lorentz_dist_loss": 1.9852,
977
+ "loss": 1.9852,
978
+ "step": 1210
979
+ },
980
+ {
981
+ "epoch": 0.019901106183412346,
982
+ "grad_norm": 18.480701446533203,
983
+ "learning_rate": 0.0003999876870460339,
984
+ "lorentz_dist_loss": 2.0046,
985
+ "loss": 2.0046,
986
+ "step": 1220
987
+ },
988
+ {
989
+ "epoch": 0.020064230004587857,
990
+ "grad_norm": 27.420400619506836,
991
+ "learning_rate": 0.0003999865037738546,
992
+ "lorentz_dist_loss": 2.0289,
993
+ "loss": 2.0289,
994
+ "step": 1230
995
+ },
996
+ {
997
+ "epoch": 0.020227353825763367,
998
+ "grad_norm": 12.880017280578613,
999
+ "learning_rate": 0.0003999852662256316,
1000
+ "lorentz_dist_loss": 1.9726,
1001
+ "loss": 1.9726,
1002
+ "step": 1240
1003
+ },
1004
+ {
1005
+ "epoch": 0.020390477646938878,
1006
+ "grad_norm": 19.080888748168945,
1007
+ "learning_rate": 0.0003999839744017008,
1008
+ "lorentz_dist_loss": 1.9842,
1009
+ "loss": 1.9842,
1010
+ "step": 1250
1011
+ },
1012
+ {
1013
+ "epoch": 0.020553601468114392,
1014
+ "grad_norm": 39.896366119384766,
1015
+ "learning_rate": 0.00039998262830241276,
1016
+ "lorentz_dist_loss": 2.0046,
1017
+ "loss": 2.0046,
1018
+ "step": 1260
1019
+ },
1020
+ {
1021
+ "epoch": 0.020716725289289903,
1022
+ "grad_norm": 33.745941162109375,
1023
+ "learning_rate": 0.00039998122792813285,
1024
+ "lorentz_dist_loss": 1.961,
1025
+ "loss": 1.961,
1026
+ "step": 1270
1027
+ },
1028
+ {
1029
+ "epoch": 0.020879849110465414,
1030
+ "grad_norm": 46.80335235595703,
1031
+ "learning_rate": 0.0003999797732792411,
1032
+ "lorentz_dist_loss": 1.9408,
1033
+ "loss": 1.9408,
1034
+ "step": 1280
1035
+ },
1036
+ {
1037
+ "epoch": 0.021042972931640924,
1038
+ "grad_norm": 8.382810592651367,
1039
+ "learning_rate": 0.0003999782643561323,
1040
+ "lorentz_dist_loss": 1.9576,
1041
+ "loss": 1.9576,
1042
+ "step": 1290
1043
+ },
1044
+ {
1045
+ "epoch": 0.021206096752816435,
1046
+ "grad_norm": 32.59154510498047,
1047
+ "learning_rate": 0.000399976701159216,
1048
+ "lorentz_dist_loss": 1.9915,
1049
+ "loss": 1.9915,
1050
+ "step": 1300
1051
+ },
1052
+ {
1053
+ "epoch": 0.021369220573991946,
1054
+ "grad_norm": 17.660350799560547,
1055
+ "learning_rate": 0.0003999750836889165,
1056
+ "lorentz_dist_loss": 1.9715,
1057
+ "loss": 1.9715,
1058
+ "step": 1310
1059
+ },
1060
+ {
1061
+ "epoch": 0.021532344395167456,
1062
+ "grad_norm": 11.901281356811523,
1063
+ "learning_rate": 0.0003999734119456726,
1064
+ "lorentz_dist_loss": 1.9798,
1065
+ "loss": 1.9798,
1066
+ "step": 1320
1067
+ },
1068
+ {
1069
+ "epoch": 0.021695468216342967,
1070
+ "grad_norm": 36.62981414794922,
1071
+ "learning_rate": 0.00039997168592993817,
1072
+ "lorentz_dist_loss": 1.9352,
1073
+ "loss": 1.9352,
1074
+ "step": 1330
1075
+ },
1076
+ {
1077
+ "epoch": 0.021858592037518478,
1078
+ "grad_norm": 16.400814056396484,
1079
+ "learning_rate": 0.00039996990564218155,
1080
+ "lorentz_dist_loss": 2.0387,
1081
+ "loss": 2.0388,
1082
+ "step": 1340
1083
+ },
1084
+ {
1085
+ "epoch": 0.022021715858693988,
1086
+ "grad_norm": 36.52493667602539,
1087
+ "learning_rate": 0.00039996807108288595,
1088
+ "lorentz_dist_loss": 1.9678,
1089
+ "loss": 1.9678,
1090
+ "step": 1350
1091
+ },
1092
+ {
1093
+ "epoch": 0.022184839679869502,
1094
+ "grad_norm": 16.8681640625,
1095
+ "learning_rate": 0.00039996618225254934,
1096
+ "lorentz_dist_loss": 1.8954,
1097
+ "loss": 1.8954,
1098
+ "step": 1360
1099
+ },
1100
+ {
1101
+ "epoch": 0.022347963501045013,
1102
+ "grad_norm": 16.471460342407227,
1103
+ "learning_rate": 0.00039996423915168424,
1104
+ "lorentz_dist_loss": 1.9541,
1105
+ "loss": 1.9542,
1106
+ "step": 1370
1107
+ },
1108
+ {
1109
+ "epoch": 0.022511087322220524,
1110
+ "grad_norm": 19.04803466796875,
1111
+ "learning_rate": 0.0003999622417808181,
1112
+ "lorentz_dist_loss": 1.9107,
1113
+ "loss": 1.9107,
1114
+ "step": 1380
1115
+ },
1116
+ {
1117
+ "epoch": 0.022674211143396034,
1118
+ "grad_norm": 38.03219985961914,
1119
+ "learning_rate": 0.0003999601901404928,
1120
+ "lorentz_dist_loss": 1.9377,
1121
+ "loss": 1.9377,
1122
+ "step": 1390
1123
+ },
1124
+ {
1125
+ "epoch": 0.022837334964571545,
1126
+ "grad_norm": 9.167182922363281,
1127
+ "learning_rate": 0.0003999580842312654,
1128
+ "lorentz_dist_loss": 1.9052,
1129
+ "loss": 1.9052,
1130
+ "step": 1400
1131
+ },
1132
+ {
1133
+ "epoch": 0.023000458785747056,
1134
+ "grad_norm": 20.07443618774414,
1135
+ "learning_rate": 0.0003999559240537073,
1136
+ "lorentz_dist_loss": 1.9013,
1137
+ "loss": 1.9013,
1138
+ "step": 1410
1139
+ },
1140
+ {
1141
+ "epoch": 0.023163582606922566,
1142
+ "grad_norm": 17.406641006469727,
1143
+ "learning_rate": 0.00039995370960840484,
1144
+ "lorentz_dist_loss": 1.9202,
1145
+ "loss": 1.9202,
1146
+ "step": 1420
1147
+ },
1148
+ {
1149
+ "epoch": 0.023326706428098077,
1150
+ "grad_norm": 19.261470794677734,
1151
+ "learning_rate": 0.00039995144089595896,
1152
+ "lorentz_dist_loss": 1.8773,
1153
+ "loss": 1.8773,
1154
+ "step": 1430
1155
+ },
1156
+ {
1157
+ "epoch": 0.023489830249273588,
1158
+ "grad_norm": 7.810523509979248,
1159
+ "learning_rate": 0.0003999491179169854,
1160
+ "lorentz_dist_loss": 1.9192,
1161
+ "loss": 1.9192,
1162
+ "step": 1440
1163
+ },
1164
+ {
1165
+ "epoch": 0.023652954070449102,
1166
+ "grad_norm": 97.85163116455078,
1167
+ "learning_rate": 0.00039994674067211466,
1168
+ "lorentz_dist_loss": 1.8941,
1169
+ "loss": 1.8941,
1170
+ "step": 1450
1171
+ },
1172
+ {
1173
+ "epoch": 0.023816077891624612,
1174
+ "grad_norm": 34.31735610961914,
1175
+ "learning_rate": 0.00039994430916199186,
1176
+ "lorentz_dist_loss": 1.9419,
1177
+ "loss": 1.9419,
1178
+ "step": 1460
1179
+ },
1180
+ {
1181
+ "epoch": 0.023979201712800123,
1182
+ "grad_norm": 36.809139251708984,
1183
+ "learning_rate": 0.0003999418233872769,
1184
+ "lorentz_dist_loss": 1.8441,
1185
+ "loss": 1.8441,
1186
+ "step": 1470
1187
+ },
1188
+ {
1189
+ "epoch": 0.024142325533975634,
1190
+ "grad_norm": 15.047479629516602,
1191
+ "learning_rate": 0.0003999392833486445,
1192
+ "lorentz_dist_loss": 1.8581,
1193
+ "loss": 1.8581,
1194
+ "step": 1480
1195
+ },
1196
+ {
1197
+ "epoch": 0.024305449355151144,
1198
+ "grad_norm": 15.958891868591309,
1199
+ "learning_rate": 0.0003999366890467839,
1200
+ "lorentz_dist_loss": 1.8949,
1201
+ "loss": 1.8949,
1202
+ "step": 1490
1203
+ },
1204
+ {
1205
+ "epoch": 0.024468573176326655,
1206
+ "grad_norm": 19.941333770751953,
1207
+ "learning_rate": 0.00039993404048239934,
1208
+ "lorentz_dist_loss": 1.8712,
1209
+ "loss": 1.8712,
1210
+ "step": 1500
1211
+ },
1212
+ {
1213
+ "epoch": 0.024631696997502166,
1214
+ "grad_norm": 19.085660934448242,
1215
+ "learning_rate": 0.00039993133765620943,
1216
+ "lorentz_dist_loss": 1.8618,
1217
+ "loss": 1.8619,
1218
+ "step": 1510
1219
+ },
1220
+ {
1221
+ "epoch": 0.024794820818677676,
1222
+ "grad_norm": 24.321836471557617,
1223
+ "learning_rate": 0.0003999285805689479,
1224
+ "lorentz_dist_loss": 1.8769,
1225
+ "loss": 1.8769,
1226
+ "step": 1520
1227
+ },
1228
+ {
1229
+ "epoch": 0.024957944639853187,
1230
+ "grad_norm": 20.945667266845703,
1231
+ "learning_rate": 0.00039992576922136307,
1232
+ "lorentz_dist_loss": 1.8635,
1233
+ "loss": 1.8635,
1234
+ "step": 1530
1235
+ },
1236
+ {
1237
+ "epoch": 0.0251210684610287,
1238
+ "grad_norm": 40.84730529785156,
1239
+ "learning_rate": 0.0003999229036142177,
1240
+ "lorentz_dist_loss": 1.8432,
1241
+ "loss": 1.8432,
1242
+ "step": 1540
1243
+ },
1244
+ {
1245
+ "epoch": 0.025284192282204212,
1246
+ "grad_norm": 42.874786376953125,
1247
+ "learning_rate": 0.00039991998374828963,
1248
+ "lorentz_dist_loss": 1.8789,
1249
+ "loss": 1.8789,
1250
+ "step": 1550
1251
+ },
1252
+ {
1253
+ "epoch": 0.025447316103379723,
1254
+ "grad_norm": 17.598535537719727,
1255
+ "learning_rate": 0.0003999170096243714,
1256
+ "lorentz_dist_loss": 1.829,
1257
+ "loss": 1.829,
1258
+ "step": 1560
1259
+ },
1260
+ {
1261
+ "epoch": 0.025610439924555233,
1262
+ "grad_norm": 25.865379333496094,
1263
+ "learning_rate": 0.00039991398124327,
1264
+ "lorentz_dist_loss": 1.8664,
1265
+ "loss": 1.8664,
1266
+ "step": 1570
1267
+ },
1268
+ {
1269
+ "epoch": 0.025773563745730744,
1270
+ "grad_norm": 19.1947021484375,
1271
+ "learning_rate": 0.0003999108986058075,
1272
+ "lorentz_dist_loss": 1.8972,
1273
+ "loss": 1.8972,
1274
+ "step": 1580
1275
+ },
1276
+ {
1277
+ "epoch": 0.025936687566906255,
1278
+ "grad_norm": 29.114892959594727,
1279
+ "learning_rate": 0.0003999077617128204,
1280
+ "lorentz_dist_loss": 1.8794,
1281
+ "loss": 1.8794,
1282
+ "step": 1590
1283
+ },
1284
+ {
1285
+ "epoch": 0.026099811388081765,
1286
+ "grad_norm": 15.067426681518555,
1287
+ "learning_rate": 0.0003999045705651601,
1288
+ "lorentz_dist_loss": 1.8547,
1289
+ "loss": 1.8547,
1290
+ "step": 1600
1291
+ },
1292
+ {
1293
+ "epoch": 0.026262935209257276,
1294
+ "grad_norm": 20.713909149169922,
1295
+ "learning_rate": 0.00039990132516369266,
1296
+ "lorentz_dist_loss": 1.8298,
1297
+ "loss": 1.8298,
1298
+ "step": 1610
1299
+ },
1300
+ {
1301
+ "epoch": 0.026426059030432787,
1302
+ "grad_norm": 17.10687255859375,
1303
+ "learning_rate": 0.0003998980255092989,
1304
+ "lorentz_dist_loss": 1.8057,
1305
+ "loss": 1.8057,
1306
+ "step": 1620
1307
+ },
1308
+ {
1309
+ "epoch": 0.0265891828516083,
1310
+ "grad_norm": 18.21800994873047,
1311
+ "learning_rate": 0.0003998946716028743,
1312
+ "lorentz_dist_loss": 1.8651,
1313
+ "loss": 1.8652,
1314
+ "step": 1630
1315
+ },
1316
+ {
1317
+ "epoch": 0.02675230667278381,
1318
+ "grad_norm": 10.072246551513672,
1319
+ "learning_rate": 0.0003998912634453292,
1320
+ "lorentz_dist_loss": 1.8583,
1321
+ "loss": 1.8583,
1322
+ "step": 1640
1323
+ },
1324
+ {
1325
+ "epoch": 0.026915430493959322,
1326
+ "grad_norm": 26.695171356201172,
1327
+ "learning_rate": 0.00039988780103758845,
1328
+ "lorentz_dist_loss": 1.8376,
1329
+ "loss": 1.8376,
1330
+ "step": 1650
1331
+ },
1332
+ {
1333
+ "epoch": 0.027078554315134833,
1334
+ "grad_norm": 14.373126029968262,
1335
+ "learning_rate": 0.00039988428438059176,
1336
+ "lorentz_dist_loss": 1.8635,
1337
+ "loss": 1.8635,
1338
+ "step": 1660
1339
+ },
1340
+ {
1341
+ "epoch": 0.027241678136310343,
1342
+ "grad_norm": 6.93622350692749,
1343
+ "learning_rate": 0.00039988071347529363,
1344
+ "lorentz_dist_loss": 1.7871,
1345
+ "loss": 1.7871,
1346
+ "step": 1670
1347
+ },
1348
+ {
1349
+ "epoch": 0.027404801957485854,
1350
+ "grad_norm": 25.125171661376953,
1351
+ "learning_rate": 0.00039987708832266313,
1352
+ "lorentz_dist_loss": 1.823,
1353
+ "loss": 1.8231,
1354
+ "step": 1680
1355
+ },
1356
+ {
1357
+ "epoch": 0.027567925778661365,
1358
+ "grad_norm": 13.685906410217285,
1359
+ "learning_rate": 0.0003998734089236841,
1360
+ "lorentz_dist_loss": 1.7986,
1361
+ "loss": 1.7986,
1362
+ "step": 1690
1363
+ },
1364
+ {
1365
+ "epoch": 0.027731049599836875,
1366
+ "grad_norm": 27.801528930664062,
1367
+ "learning_rate": 0.0003998696752793552,
1368
+ "lorentz_dist_loss": 1.8298,
1369
+ "loss": 1.8298,
1370
+ "step": 1700
1371
+ },
1372
+ {
1373
+ "epoch": 0.027894173421012386,
1374
+ "grad_norm": 6.977412223815918,
1375
+ "learning_rate": 0.0003998658873906897,
1376
+ "lorentz_dist_loss": 1.8395,
1377
+ "loss": 1.8395,
1378
+ "step": 1710
1379
+ },
1380
+ {
1381
+ "epoch": 0.028057297242187897,
1382
+ "grad_norm": 39.27947998046875,
1383
+ "learning_rate": 0.0003998620452587156,
1384
+ "lorentz_dist_loss": 1.812,
1385
+ "loss": 1.812,
1386
+ "step": 1720
1387
+ },
1388
+ {
1389
+ "epoch": 0.02822042106336341,
1390
+ "grad_norm": 21.011966705322266,
1391
+ "learning_rate": 0.00039985814888447577,
1392
+ "lorentz_dist_loss": 1.8366,
1393
+ "loss": 1.8366,
1394
+ "step": 1730
1395
+ },
1396
+ {
1397
+ "epoch": 0.02838354488453892,
1398
+ "grad_norm": 23.414430618286133,
1399
+ "learning_rate": 0.00039985419826902744,
1400
+ "lorentz_dist_loss": 1.7944,
1401
+ "loss": 1.7944,
1402
+ "step": 1740
1403
+ },
1404
+ {
1405
+ "epoch": 0.028546668705714432,
1406
+ "grad_norm": 18.74704933166504,
1407
+ "learning_rate": 0.0003998501934134431,
1408
+ "lorentz_dist_loss": 1.8119,
1409
+ "loss": 1.8119,
1410
+ "step": 1750
1411
+ },
1412
+ {
1413
+ "epoch": 0.028709792526889943,
1414
+ "grad_norm": 13.936176300048828,
1415
+ "learning_rate": 0.0003998461343188093,
1416
+ "lorentz_dist_loss": 1.7879,
1417
+ "loss": 1.7879,
1418
+ "step": 1760
1419
+ },
1420
+ {
1421
+ "epoch": 0.028872916348065453,
1422
+ "grad_norm": 31.79280662536621,
1423
+ "learning_rate": 0.000399842020986228,
1424
+ "lorentz_dist_loss": 1.7828,
1425
+ "loss": 1.7828,
1426
+ "step": 1770
1427
+ },
1428
+ {
1429
+ "epoch": 0.029036040169240964,
1430
+ "grad_norm": 8.745107650756836,
1431
+ "learning_rate": 0.00039983785341681546,
1432
+ "lorentz_dist_loss": 1.8128,
1433
+ "loss": 1.8128,
1434
+ "step": 1780
1435
+ },
1436
+ {
1437
+ "epoch": 0.029199163990416475,
1438
+ "grad_norm": 12.62025260925293,
1439
+ "learning_rate": 0.00039983363161170266,
1440
+ "lorentz_dist_loss": 1.7831,
1441
+ "loss": 1.7831,
1442
+ "step": 1790
1443
+ },
1444
+ {
1445
+ "epoch": 0.029362287811591985,
1446
+ "grad_norm": 34.29429244995117,
1447
+ "learning_rate": 0.00039982935557203545,
1448
+ "lorentz_dist_loss": 1.797,
1449
+ "loss": 1.797,
1450
+ "step": 1800
1451
+ },
1452
+ {
1453
+ "epoch": 0.029525411632767496,
1454
+ "grad_norm": 13.754549026489258,
1455
+ "learning_rate": 0.0003998250252989745,
1456
+ "lorentz_dist_loss": 1.7723,
1457
+ "loss": 1.7723,
1458
+ "step": 1810
1459
+ },
1460
+ {
1461
+ "epoch": 0.02968853545394301,
1462
+ "grad_norm": 36.29313659667969,
1463
+ "learning_rate": 0.0003998206407936947,
1464
+ "lorentz_dist_loss": 1.8214,
1465
+ "loss": 1.8214,
1466
+ "step": 1820
1467
+ },
1468
+ {
1469
+ "epoch": 0.02985165927511852,
1470
+ "grad_norm": 32.77479934692383,
1471
+ "learning_rate": 0.0003998162020573863,
1472
+ "lorentz_dist_loss": 1.7763,
1473
+ "loss": 1.7763,
1474
+ "step": 1830
1475
+ },
1476
+ {
1477
+ "epoch": 0.03001478309629403,
1478
+ "grad_norm": 7.10319709777832,
1479
+ "learning_rate": 0.0003998117090912537,
1480
+ "lorentz_dist_loss": 1.7762,
1481
+ "loss": 1.7762,
1482
+ "step": 1840
1483
+ },
1484
+ {
1485
+ "epoch": 0.030177906917469542,
1486
+ "grad_norm": 9.29221248626709,
1487
+ "learning_rate": 0.0003998071618965166,
1488
+ "lorentz_dist_loss": 1.751,
1489
+ "loss": 1.751,
1490
+ "step": 1850
1491
+ },
1492
+ {
1493
+ "epoch": 0.030341030738645053,
1494
+ "grad_norm": 14.73742961883545,
1495
+ "learning_rate": 0.0003998025604744088,
1496
+ "lorentz_dist_loss": 1.7867,
1497
+ "loss": 1.7867,
1498
+ "step": 1860
1499
+ },
1500
+ {
1501
+ "epoch": 0.030504154559820564,
1502
+ "grad_norm": 13.084156036376953,
1503
+ "learning_rate": 0.0003997979048261794,
1504
+ "lorentz_dist_loss": 1.7498,
1505
+ "loss": 1.7498,
1506
+ "step": 1870
1507
+ },
1508
+ {
1509
+ "epoch": 0.030667278380996074,
1510
+ "grad_norm": 16.505908966064453,
1511
+ "learning_rate": 0.00039979319495309166,
1512
+ "lorentz_dist_loss": 1.7576,
1513
+ "loss": 1.7576,
1514
+ "step": 1880
1515
+ },
1516
+ {
1517
+ "epoch": 0.030830402202171585,
1518
+ "grad_norm": 7.599990367889404,
1519
+ "learning_rate": 0.000399788430856424,
1520
+ "lorentz_dist_loss": 1.7288,
1521
+ "loss": 1.7288,
1522
+ "step": 1890
1523
+ },
1524
+ {
1525
+ "epoch": 0.030993526023347095,
1526
+ "grad_norm": 11.083346366882324,
1527
+ "learning_rate": 0.00039978361253746944,
1528
+ "lorentz_dist_loss": 1.7587,
1529
+ "loss": 1.7587,
1530
+ "step": 1900
1531
+ },
1532
+ {
1533
+ "epoch": 0.03115664984452261,
1534
+ "grad_norm": 11.78855037689209,
1535
+ "learning_rate": 0.0003997787399975355,
1536
+ "lorentz_dist_loss": 1.7565,
1537
+ "loss": 1.7565,
1538
+ "step": 1910
1539
+ },
1540
+ {
1541
+ "epoch": 0.03131977366569812,
1542
+ "grad_norm": NaN,
1543
+ "learning_rate": 0.0003997777589831473,
1544
+ "lorentz_dist_loss": 1.7878,
1545
+ "loss": 1.7878,
1546
+ "step": 1920
1547
+ },
1548
+ {
1549
+ "epoch": 0.03148289748687363,
1550
+ "grad_norm": NaN,
1551
+ "learning_rate": 0.0003997777589831473,
1552
+ "lorentz_dist_loss": 1.7459,
1553
+ "loss": 1.7459,
1554
+ "step": 1930
1555
+ },
1556
+ {
1557
+ "epoch": 0.03164602130804914,
1558
+ "grad_norm": NaN,
1559
+ "learning_rate": 0.0003997777589831473,
1560
+ "lorentz_dist_loss": 1.7156,
1561
+ "loss": 1.7156,
1562
+ "step": 1940
1563
+ },
1564
+ {
1565
+ "epoch": 0.03180914512922465,
1566
+ "grad_norm": NaN,
1567
+ "learning_rate": 0.00039977726766266165,
1568
+ "lorentz_dist_loss": 1.7095,
1569
+ "loss": 1.7095,
1570
+ "step": 1950
1571
+ },
1572
+ {
1573
+ "epoch": 0.031972268950400166,
1574
+ "grad_norm": NaN,
1575
+ "learning_rate": 0.00039977726766266165,
1576
+ "lorentz_dist_loss": 1.726,
1577
+ "loss": 1.726,
1578
+ "step": 1960
1579
+ },
1580
+ {
1581
+ "epoch": 0.03213539277157568,
1582
+ "grad_norm": NaN,
1583
+ "learning_rate": 0.00039977726766266165,
1584
+ "lorentz_dist_loss": 1.9162,
1585
+ "loss": 1.9162,
1586
+ "step": 1970
1587
+ },
1588
+ {
1589
+ "epoch": 0.03229851659275119,
1590
+ "grad_norm": NaN,
1591
+ "learning_rate": 0.00039977726766266165,
1592
+ "lorentz_dist_loss": 1.8892,
1593
+ "loss": 1.8892,
1594
+ "step": 1980
1595
+ },
1596
+ {
1597
+ "epoch": 0.0324616404139267,
1598
+ "grad_norm": NaN,
1599
+ "learning_rate": 0.00039977726766266165,
1600
+ "lorentz_dist_loss": 1.8153,
1601
+ "loss": 1.8153,
1602
+ "step": 1990
1603
+ },
1604
+ {
1605
+ "epoch": 0.03262476423510221,
1606
+ "grad_norm": NaN,
1607
+ "learning_rate": 0.00039977726766266165,
1608
+ "lorentz_dist_loss": 1.8468,
1609
+ "loss": 1.8468,
1610
+ "step": 2000
1611
+ },
1612
+ {
1613
+ "epoch": 0.03278788805627772,
1614
+ "grad_norm": NaN,
1615
+ "learning_rate": 0.00039977726766266165,
1616
+ "lorentz_dist_loss": 1.8048,
1617
+ "loss": 1.8048,
1618
+ "step": 2010
1619
+ },
1620
+ {
1621
+ "epoch": 0.03295101187745323,
1622
+ "grad_norm": NaN,
1623
+ "learning_rate": 0.00039977726766266165,
1624
+ "lorentz_dist_loss": 1.8225,
1625
+ "loss": 1.8225,
1626
+ "step": 2020
1627
+ },
1628
+ {
1629
+ "epoch": 0.03311413569862874,
1630
+ "grad_norm": NaN,
1631
+ "learning_rate": 0.00039977726766266165,
1632
+ "lorentz_dist_loss": 1.7243,
1633
+ "loss": 1.7243,
1634
+ "step": 2030
1635
+ },
1636
+ {
1637
+ "epoch": 0.03327725951980425,
1638
+ "grad_norm": NaN,
1639
+ "learning_rate": 0.00039977726766266165,
1640
+ "lorentz_dist_loss": 1.6915,
1641
+ "loss": 1.6915,
1642
+ "step": 2040
1643
+ },
1644
+ {
1645
+ "epoch": 0.03344038334097976,
1646
+ "grad_norm": NaN,
1647
+ "learning_rate": 0.00039977726766266165,
1648
+ "lorentz_dist_loss": 1.8292,
1649
+ "loss": 1.8292,
1650
+ "step": 2050
1651
+ },
1652
+ {
1653
+ "epoch": 0.03360350716215527,
1654
+ "grad_norm": NaN,
1655
+ "learning_rate": 0.00039977726766266165,
1656
+ "lorentz_dist_loss": 1.787,
1657
+ "loss": 1.787,
1658
+ "step": 2060
1659
+ },
1660
+ {
1661
+ "epoch": 0.033766630983330784,
1662
+ "grad_norm": NaN,
1663
+ "learning_rate": 0.00039977726766266165,
1664
+ "lorentz_dist_loss": 1.8101,
1665
+ "loss": 1.8101,
1666
+ "step": 2070
1667
+ },
1668
+ {
1669
+ "epoch": 0.033929754804506294,
1670
+ "grad_norm": NaN,
1671
+ "learning_rate": 0.00039977726766266165,
1672
+ "lorentz_dist_loss": 1.7345,
1673
+ "loss": 1.7345,
1674
+ "step": 2080
1675
+ },
1676
+ {
1677
+ "epoch": 0.034092878625681805,
1678
+ "grad_norm": NaN,
1679
+ "learning_rate": 0.00039977726766266165,
1680
+ "lorentz_dist_loss": 1.798,
1681
+ "loss": 1.798,
1682
+ "step": 2090
1683
+ },
1684
+ {
1685
+ "epoch": 0.034256002446857316,
1686
+ "grad_norm": NaN,
1687
+ "learning_rate": 0.00039977726766266165,
1688
+ "lorentz_dist_loss": 1.7592,
1689
+ "loss": 1.7592,
1690
+ "step": 2100
1691
+ },
1692
+ {
1693
+ "epoch": 0.034419126268032826,
1694
+ "grad_norm": NaN,
1695
+ "learning_rate": 0.00039977726766266165,
1696
+ "lorentz_dist_loss": 1.7382,
1697
+ "loss": 1.7382,
1698
+ "step": 2110
1699
+ },
1700
+ {
1701
+ "epoch": 0.03458225008920834,
1702
+ "grad_norm": NaN,
1703
+ "learning_rate": 0.00039977726766266165,
1704
+ "lorentz_dist_loss": 1.8369,
1705
+ "loss": 1.8369,
1706
+ "step": 2120
1707
+ },
1708
+ {
1709
+ "epoch": 0.03474537391038385,
1710
+ "grad_norm": NaN,
1711
+ "learning_rate": 0.00039977726766266165,
1712
+ "lorentz_dist_loss": 1.7777,
1713
+ "loss": 1.7777,
1714
+ "step": 2130
1715
+ },
1716
+ {
1717
+ "epoch": 0.03490849773155936,
1718
+ "grad_norm": NaN,
1719
+ "learning_rate": 0.00039977726766266165,
1720
+ "lorentz_dist_loss": 1.7846,
1721
+ "loss": 1.7846,
1722
+ "step": 2140
1723
+ },
1724
+ {
1725
+ "epoch": 0.035071621552734876,
1726
+ "grad_norm": NaN,
1727
+ "learning_rate": 0.00039977726766266165,
1728
+ "lorentz_dist_loss": 1.8049,
1729
+ "loss": 1.8049,
1730
+ "step": 2150
1731
+ },
1732
+ {
1733
+ "epoch": 0.03523474537391039,
1734
+ "grad_norm": NaN,
1735
+ "learning_rate": 0.00039977726766266165,
1736
+ "lorentz_dist_loss": 1.7922,
1737
+ "loss": 1.7922,
1738
+ "step": 2160
1739
+ },
1740
+ {
1741
+ "epoch": 0.0353978691950859,
1742
+ "grad_norm": NaN,
1743
+ "learning_rate": 0.00039977726766266165,
1744
+ "lorentz_dist_loss": 1.7747,
1745
+ "loss": 1.7747,
1746
+ "step": 2170
1747
+ },
1748
+ {
1749
+ "epoch": 0.03556099301626141,
1750
+ "grad_norm": NaN,
1751
+ "learning_rate": 0.00039977726766266165,
1752
+ "lorentz_dist_loss": 1.7639,
1753
+ "loss": 1.7639,
1754
+ "step": 2180
1755
+ },
1756
+ {
1757
+ "epoch": 0.03572411683743692,
1758
+ "grad_norm": NaN,
1759
+ "learning_rate": 0.00039977726766266165,
1760
+ "lorentz_dist_loss": 1.785,
1761
+ "loss": 1.785,
1762
+ "step": 2190
1763
+ },
1764
+ {
1765
+ "epoch": 0.03588724065861243,
1766
+ "grad_norm": NaN,
1767
+ "learning_rate": 0.00039977726766266165,
1768
+ "lorentz_dist_loss": 1.7013,
1769
+ "loss": 1.7013,
1770
+ "step": 2200
1771
+ },
1772
+ {
1773
+ "epoch": 0.03605036447978794,
1774
+ "grad_norm": NaN,
1775
+ "learning_rate": 0.00039977726766266165,
1776
+ "lorentz_dist_loss": 1.7803,
1777
+ "loss": 1.7803,
1778
+ "step": 2210
1779
+ },
1780
+ {
1781
+ "epoch": 0.03621348830096345,
1782
+ "grad_norm": NaN,
1783
+ "learning_rate": 0.00039977726766266165,
1784
+ "lorentz_dist_loss": 1.762,
1785
+ "loss": 1.762,
1786
+ "step": 2220
1787
+ },
1788
+ {
1789
+ "epoch": 0.03637661212213896,
1790
+ "grad_norm": NaN,
1791
+ "learning_rate": 0.00039977726766266165,
1792
+ "lorentz_dist_loss": 1.6842,
1793
+ "loss": 1.6842,
1794
+ "step": 2230
1795
+ },
1796
+ {
1797
+ "epoch": 0.03653973594331447,
1798
+ "grad_norm": NaN,
1799
+ "learning_rate": 0.00039977726766266165,
1800
+ "lorentz_dist_loss": 1.7289,
1801
+ "loss": 1.7289,
1802
+ "step": 2240
1803
+ },
1804
+ {
1805
+ "epoch": 0.03670285976448998,
1806
+ "grad_norm": NaN,
1807
+ "learning_rate": 0.00039977726766266165,
1808
+ "lorentz_dist_loss": 1.7385,
1809
+ "loss": 1.7385,
1810
+ "step": 2250
1811
+ },
1812
+ {
1813
+ "epoch": 0.03686598358566549,
1814
+ "grad_norm": NaN,
1815
+ "learning_rate": 0.00039977726766266165,
1816
+ "lorentz_dist_loss": 1.7683,
1817
+ "loss": 1.7683,
1818
+ "step": 2260
1819
+ },
1820
+ {
1821
+ "epoch": 0.037029107406841004,
1822
+ "grad_norm": NaN,
1823
+ "learning_rate": 0.00039977726766266165,
1824
+ "lorentz_dist_loss": 1.759,
1825
+ "loss": 1.759,
1826
+ "step": 2270
1827
+ },
1828
+ {
1829
+ "epoch": 0.037192231228016515,
1830
+ "grad_norm": NaN,
1831
+ "learning_rate": 0.00039977726766266165,
1832
+ "lorentz_dist_loss": 1.7936,
1833
+ "loss": 1.7936,
1834
+ "step": 2280
1835
+ },
1836
+ {
1837
+ "epoch": 0.037355355049192025,
1838
+ "grad_norm": NaN,
1839
+ "learning_rate": 0.00039977726766266165,
1840
+ "lorentz_dist_loss": 1.678,
1841
+ "loss": 1.678,
1842
+ "step": 2290
1843
+ },
1844
+ {
1845
+ "epoch": 0.037518478870367536,
1846
+ "grad_norm": NaN,
1847
+ "learning_rate": 0.00039977726766266165,
1848
+ "lorentz_dist_loss": 1.6801,
1849
+ "loss": 1.6801,
1850
+ "step": 2300
1851
+ },
1852
+ {
1853
+ "epoch": 0.03768160269154305,
1854
+ "grad_norm": NaN,
1855
+ "learning_rate": 0.00039977726766266165,
1856
+ "lorentz_dist_loss": 1.7745,
1857
+ "loss": 1.7745,
1858
+ "step": 2310
1859
+ },
1860
+ {
1861
+ "epoch": 0.03784472651271856,
1862
+ "grad_norm": NaN,
1863
+ "learning_rate": 0.00039977726766266165,
1864
+ "lorentz_dist_loss": 1.7469,
1865
+ "loss": 1.7469,
1866
+ "step": 2320
1867
+ },
1868
+ {
1869
+ "epoch": 0.038007850333894075,
1870
+ "grad_norm": NaN,
1871
+ "learning_rate": 0.00039977726766266165,
1872
+ "lorentz_dist_loss": 1.7284,
1873
+ "loss": 1.7284,
1874
+ "step": 2330
1875
+ },
1876
+ {
1877
+ "epoch": 0.038170974155069586,
1878
+ "grad_norm": NaN,
1879
+ "learning_rate": 0.00039977726766266165,
1880
+ "lorentz_dist_loss": 1.8416,
1881
+ "loss": 1.8416,
1882
+ "step": 2340
1883
+ },
1884
+ {
1885
+ "epoch": 0.038334097976245096,
1886
+ "grad_norm": NaN,
1887
+ "learning_rate": 0.00039977726766266165,
1888
+ "lorentz_dist_loss": 1.7879,
1889
+ "loss": 1.7879,
1890
+ "step": 2350
1891
+ },
1892
+ {
1893
+ "epoch": 0.03849722179742061,
1894
+ "grad_norm": NaN,
1895
+ "learning_rate": 0.00039977726766266165,
1896
+ "lorentz_dist_loss": 1.7878,
1897
+ "loss": 1.7878,
1898
+ "step": 2360
1899
+ },
1900
+ {
1901
+ "epoch": 0.03866034561859612,
1902
+ "grad_norm": NaN,
1903
+ "learning_rate": 0.00039977726766266165,
1904
+ "lorentz_dist_loss": 1.7919,
1905
+ "loss": 1.7919,
1906
+ "step": 2370
1907
+ },
1908
+ {
1909
+ "epoch": 0.03882346943977163,
1910
+ "grad_norm": NaN,
1911
+ "learning_rate": 0.00039977726766266165,
1912
+ "lorentz_dist_loss": 1.8148,
1913
+ "loss": 1.8148,
1914
+ "step": 2380
1915
+ },
1916
+ {
1917
+ "epoch": 0.03898659326094714,
1918
+ "grad_norm": NaN,
1919
+ "learning_rate": 0.00039977726766266165,
1920
+ "lorentz_dist_loss": 1.755,
1921
+ "loss": 1.755,
1922
+ "step": 2390
1923
+ },
1924
+ {
1925
+ "epoch": 0.03914971708212265,
1926
+ "grad_norm": NaN,
1927
+ "learning_rate": 0.00039977726766266165,
1928
+ "lorentz_dist_loss": 1.7724,
1929
+ "loss": 1.7724,
1930
+ "step": 2400
1931
+ },
1932
+ {
1933
+ "epoch": 0.03931284090329816,
1934
+ "grad_norm": NaN,
1935
+ "learning_rate": 0.00039977726766266165,
1936
+ "lorentz_dist_loss": 1.7408,
1937
+ "loss": 1.7408,
1938
+ "step": 2410
1939
+ },
1940
+ {
1941
+ "epoch": 0.03947596472447367,
1942
+ "grad_norm": NaN,
1943
+ "learning_rate": 0.00039977726766266165,
1944
+ "lorentz_dist_loss": 1.8365,
1945
+ "loss": 1.8365,
1946
+ "step": 2420
1947
+ },
1948
+ {
1949
+ "epoch": 0.03963908854564918,
1950
+ "grad_norm": NaN,
1951
+ "learning_rate": 0.00039977726766266165,
1952
+ "lorentz_dist_loss": 1.7856,
1953
+ "loss": 1.7856,
1954
+ "step": 2430
1955
+ },
1956
+ {
1957
+ "epoch": 0.03980221236682469,
1958
+ "grad_norm": NaN,
1959
+ "learning_rate": 0.00039977726766266165,
1960
+ "lorentz_dist_loss": 1.8291,
1961
+ "loss": 1.8291,
1962
+ "step": 2440
1963
+ },
1964
+ {
1965
+ "epoch": 0.0399653361880002,
1966
+ "grad_norm": NaN,
1967
+ "learning_rate": 0.00039977726766266165,
1968
+ "lorentz_dist_loss": 1.8455,
1969
+ "loss": 1.8455,
1970
+ "step": 2450
1971
+ },
1972
+ {
1973
+ "epoch": 0.040128460009175713,
1974
+ "grad_norm": NaN,
1975
+ "learning_rate": 0.00039977726766266165,
1976
+ "lorentz_dist_loss": 1.771,
1977
+ "loss": 1.771,
1978
+ "step": 2460
1979
+ },
1980
+ {
1981
+ "epoch": 0.040291583830351224,
1982
+ "grad_norm": NaN,
1983
+ "learning_rate": 0.00039977726766266165,
1984
+ "lorentz_dist_loss": 1.7711,
1985
+ "loss": 1.7711,
1986
+ "step": 2470
1987
+ },
1988
+ {
1989
+ "epoch": 0.040454707651526735,
1990
+ "grad_norm": NaN,
1991
+ "learning_rate": 0.00039977726766266165,
1992
+ "lorentz_dist_loss": 1.7985,
1993
+ "loss": 1.7985,
1994
+ "step": 2480
1995
+ },
1996
+ {
1997
+ "epoch": 0.040617831472702245,
1998
+ "grad_norm": NaN,
1999
+ "learning_rate": 0.00039977726766266165,
2000
+ "lorentz_dist_loss": 1.6854,
2001
+ "loss": 1.6854,
2002
+ "step": 2490
2003
+ },
2004
+ {
2005
+ "epoch": 0.040780955293877756,
2006
+ "grad_norm": NaN,
2007
+ "learning_rate": 0.00039977726766266165,
2008
+ "lorentz_dist_loss": 1.79,
2009
+ "loss": 1.79,
2010
+ "step": 2500
2011
+ },
2012
+ {
2013
+ "epoch": 0.04094407911505327,
2014
+ "grad_norm": NaN,
2015
+ "learning_rate": 0.00039977726766266165,
2016
+ "lorentz_dist_loss": 1.7736,
2017
+ "loss": 1.7736,
2018
+ "step": 2510
2019
+ },
2020
+ {
2021
+ "epoch": 0.041107202936228784,
2022
+ "grad_norm": NaN,
2023
+ "learning_rate": 0.00039977726766266165,
2024
+ "lorentz_dist_loss": 1.7481,
2025
+ "loss": 1.7481,
2026
+ "step": 2520
2027
+ },
2028
+ {
2029
+ "epoch": 0.041270326757404295,
2030
+ "grad_norm": NaN,
2031
+ "learning_rate": 0.00039977726766266165,
2032
+ "lorentz_dist_loss": 1.751,
2033
+ "loss": 1.751,
2034
+ "step": 2530
2035
+ },
2036
+ {
2037
+ "epoch": 0.041433450578579806,
2038
+ "grad_norm": NaN,
2039
+ "learning_rate": 0.00039977726766266165,
2040
+ "lorentz_dist_loss": 1.7082,
2041
+ "loss": 1.7082,
2042
+ "step": 2540
2043
+ },
2044
+ {
2045
+ "epoch": 0.041596574399755316,
2046
+ "grad_norm": NaN,
2047
+ "learning_rate": 0.00039977726766266165,
2048
+ "lorentz_dist_loss": 1.881,
2049
+ "loss": 1.881,
2050
+ "step": 2550
2051
+ },
2052
+ {
2053
+ "epoch": 0.04175969822093083,
2054
+ "grad_norm": NaN,
2055
+ "learning_rate": 0.00039977726766266165,
2056
+ "lorentz_dist_loss": 1.7111,
2057
+ "loss": 1.7111,
2058
+ "step": 2560
2059
+ },
2060
+ {
2061
+ "epoch": 0.04192282204210634,
2062
+ "grad_norm": NaN,
2063
+ "learning_rate": 0.00039977726766266165,
2064
+ "lorentz_dist_loss": 1.7624,
2065
+ "loss": 1.7624,
2066
+ "step": 2570
2067
+ },
2068
+ {
2069
+ "epoch": 0.04208594586328185,
2070
+ "grad_norm": NaN,
2071
+ "learning_rate": 0.00039977726766266165,
2072
+ "lorentz_dist_loss": 1.6924,
2073
+ "loss": 1.6924,
2074
+ "step": 2580
2075
+ },
2076
+ {
2077
+ "epoch": 0.04224906968445736,
2078
+ "grad_norm": NaN,
2079
+ "learning_rate": 0.00039977726766266165,
2080
+ "lorentz_dist_loss": 1.8368,
2081
+ "loss": 1.8368,
2082
+ "step": 2590
2083
+ },
2084
+ {
2085
+ "epoch": 0.04241219350563287,
2086
+ "grad_norm": NaN,
2087
+ "learning_rate": 0.00039977726766266165,
2088
+ "lorentz_dist_loss": 1.7378,
2089
+ "loss": 1.7378,
2090
+ "step": 2600
2091
+ },
2092
+ {
2093
+ "epoch": 0.04257531732680838,
2094
+ "grad_norm": NaN,
2095
+ "learning_rate": 0.00039977726766266165,
2096
+ "lorentz_dist_loss": 1.7708,
2097
+ "loss": 1.7708,
2098
+ "step": 2610
2099
+ },
2100
+ {
2101
+ "epoch": 0.04273844114798389,
2102
+ "grad_norm": NaN,
2103
+ "learning_rate": 0.00039977726766266165,
2104
+ "lorentz_dist_loss": 1.7963,
2105
+ "loss": 1.7963,
2106
+ "step": 2620
2107
+ },
2108
+ {
2109
+ "epoch": 0.0429015649691594,
2110
+ "grad_norm": NaN,
2111
+ "learning_rate": 0.00039977726766266165,
2112
+ "lorentz_dist_loss": 1.8135,
2113
+ "loss": 1.8135,
2114
+ "step": 2630
2115
+ },
2116
+ {
2117
+ "epoch": 0.04306468879033491,
2118
+ "grad_norm": NaN,
2119
+ "learning_rate": 0.00039977726766266165,
2120
+ "lorentz_dist_loss": 1.7101,
2121
+ "loss": 1.7101,
2122
+ "step": 2640
2123
+ },
2124
+ {
2125
+ "epoch": 0.04322781261151042,
2126
+ "grad_norm": NaN,
2127
+ "learning_rate": 0.00039977726766266165,
2128
+ "lorentz_dist_loss": 1.6974,
2129
+ "loss": 1.6974,
2130
+ "step": 2650
2131
+ },
2132
+ {
2133
+ "epoch": 0.043390936432685934,
2134
+ "grad_norm": NaN,
2135
+ "learning_rate": 0.00039977726766266165,
2136
+ "lorentz_dist_loss": 1.7479,
2137
+ "loss": 1.7479,
2138
+ "step": 2660
2139
+ },
2140
+ {
2141
+ "epoch": 0.043554060253861444,
2142
+ "grad_norm": NaN,
2143
+ "learning_rate": 0.00039977726766266165,
2144
+ "lorentz_dist_loss": 1.7763,
2145
+ "loss": 1.7763,
2146
+ "step": 2670
2147
+ },
2148
+ {
2149
+ "epoch": 0.043717184075036955,
2150
+ "grad_norm": NaN,
2151
+ "learning_rate": 0.00039977726766266165,
2152
+ "lorentz_dist_loss": 1.7464,
2153
+ "loss": 1.7464,
2154
+ "step": 2680
2155
+ },
2156
+ {
2157
+ "epoch": 0.043880307896212466,
2158
+ "grad_norm": NaN,
2159
+ "learning_rate": 0.00039977726766266165,
2160
+ "lorentz_dist_loss": 1.8143,
2161
+ "loss": 1.8143,
2162
+ "step": 2690
2163
+ },
2164
+ {
2165
+ "epoch": 0.044043431717387976,
2166
+ "grad_norm": NaN,
2167
+ "learning_rate": 0.00039977726766266165,
2168
+ "lorentz_dist_loss": 1.7838,
2169
+ "loss": 1.7838,
2170
+ "step": 2700
2171
+ },
2172
+ {
2173
+ "epoch": 0.044206555538563494,
2174
+ "grad_norm": NaN,
2175
+ "learning_rate": 0.00039977726766266165,
2176
+ "lorentz_dist_loss": 1.7376,
2177
+ "loss": 1.7376,
2178
+ "step": 2710
2179
+ },
2180
+ {
2181
+ "epoch": 0.044369679359739005,
2182
+ "grad_norm": NaN,
2183
+ "learning_rate": 0.00039977726766266165,
2184
+ "lorentz_dist_loss": 1.8024,
2185
+ "loss": 1.8024,
2186
+ "step": 2720
2187
+ },
2188
+ {
2189
+ "epoch": 0.044532803180914515,
2190
+ "grad_norm": NaN,
2191
+ "learning_rate": 0.00039977726766266165,
2192
+ "lorentz_dist_loss": 1.7288,
2193
+ "loss": 1.7288,
2194
+ "step": 2730
2195
+ },
2196
+ {
2197
+ "epoch": 0.044695927002090026,
2198
+ "grad_norm": NaN,
2199
+ "learning_rate": 0.00039977726766266165,
2200
+ "lorentz_dist_loss": 1.7296,
2201
+ "loss": 1.7296,
2202
+ "step": 2740
2203
+ },
2204
+ {
2205
+ "epoch": 0.04485905082326554,
2206
+ "grad_norm": NaN,
2207
+ "learning_rate": 0.00039977726766266165,
2208
+ "lorentz_dist_loss": 1.7663,
2209
+ "loss": 1.7663,
2210
+ "step": 2750
2211
+ },
2212
+ {
2213
+ "epoch": 0.04502217464444105,
2214
+ "grad_norm": NaN,
2215
+ "learning_rate": 0.00039977726766266165,
2216
+ "lorentz_dist_loss": 1.8573,
2217
+ "loss": 1.8573,
2218
+ "step": 2760
2219
+ },
2220
+ {
2221
+ "epoch": 0.04518529846561656,
2222
+ "grad_norm": NaN,
2223
+ "learning_rate": 0.00039977726766266165,
2224
+ "lorentz_dist_loss": 1.809,
2225
+ "loss": 1.809,
2226
+ "step": 2770
2227
+ },
2228
+ {
2229
+ "epoch": 0.04534842228679207,
2230
+ "grad_norm": NaN,
2231
+ "learning_rate": 0.00039977726766266165,
2232
+ "lorentz_dist_loss": 1.7223,
2233
+ "loss": 1.7223,
2234
+ "step": 2780
2235
+ },
2236
+ {
2237
+ "epoch": 0.04551154610796758,
2238
+ "grad_norm": NaN,
2239
+ "learning_rate": 0.00039977726766266165,
2240
+ "lorentz_dist_loss": 1.8226,
2241
+ "loss": 1.8226,
2242
+ "step": 2790
2243
+ },
2244
+ {
2245
+ "epoch": 0.04567466992914309,
2246
+ "grad_norm": NaN,
2247
+ "learning_rate": 0.00039977726766266165,
2248
+ "lorentz_dist_loss": 1.756,
2249
+ "loss": 1.756,
2250
+ "step": 2800
2251
+ },
2252
+ {
2253
+ "epoch": 0.0458377937503186,
2254
+ "grad_norm": NaN,
2255
+ "learning_rate": 0.00039977726766266165,
2256
+ "lorentz_dist_loss": 1.7631,
2257
+ "loss": 1.7631,
2258
+ "step": 2810
2259
+ },
2260
+ {
2261
+ "epoch": 0.04600091757149411,
2262
+ "grad_norm": NaN,
2263
+ "learning_rate": 0.00039977726766266165,
2264
+ "lorentz_dist_loss": 1.8806,
2265
+ "loss": 1.8806,
2266
+ "step": 2820
2267
+ },
2268
+ {
2269
+ "epoch": 0.04616404139266962,
2270
+ "grad_norm": NaN,
2271
+ "learning_rate": 0.00039977726766266165,
2272
+ "lorentz_dist_loss": 1.7542,
2273
+ "loss": 1.7542,
2274
+ "step": 2830
2275
+ },
2276
+ {
2277
+ "epoch": 0.04632716521384513,
2278
+ "grad_norm": NaN,
2279
+ "learning_rate": 0.00039977726766266165,
2280
+ "lorentz_dist_loss": 1.8242,
2281
+ "loss": 1.8242,
2282
+ "step": 2840
2283
+ },
2284
+ {
2285
+ "epoch": 0.04649028903502064,
2286
+ "grad_norm": NaN,
2287
+ "learning_rate": 0.00039977726766266165,
2288
+ "lorentz_dist_loss": 1.7322,
2289
+ "loss": 1.7322,
2290
+ "step": 2850
2291
+ },
2292
+ {
2293
+ "epoch": 0.046653412856196154,
2294
+ "grad_norm": NaN,
2295
+ "learning_rate": 0.00039977726766266165,
2296
+ "lorentz_dist_loss": 1.7259,
2297
+ "loss": 1.7259,
2298
+ "step": 2860
2299
+ },
2300
+ {
2301
+ "epoch": 0.046816536677371665,
2302
+ "grad_norm": NaN,
2303
+ "learning_rate": 0.00039977726766266165,
2304
+ "lorentz_dist_loss": 1.7141,
2305
+ "loss": 1.7141,
2306
+ "step": 2870
2307
+ },
2308
+ {
2309
+ "epoch": 0.046979660498547175,
2310
+ "grad_norm": NaN,
2311
+ "learning_rate": 0.00039977726766266165,
2312
+ "lorentz_dist_loss": 1.7176,
2313
+ "loss": 1.7176,
2314
+ "step": 2880
2315
+ },
2316
+ {
2317
+ "epoch": 0.04714278431972269,
2318
+ "grad_norm": NaN,
2319
+ "learning_rate": 0.00039977726766266165,
2320
+ "lorentz_dist_loss": 1.7421,
2321
+ "loss": 1.7421,
2322
+ "step": 2890
2323
+ },
2324
+ {
2325
+ "epoch": 0.047305908140898204,
2326
+ "grad_norm": NaN,
2327
+ "learning_rate": 0.00039977726766266165,
2328
+ "lorentz_dist_loss": 1.739,
2329
+ "loss": 1.739,
2330
+ "step": 2900
2331
+ },
2332
+ {
2333
+ "epoch": 0.047469031962073714,
2334
+ "grad_norm": NaN,
2335
+ "learning_rate": 0.00039977726766266165,
2336
+ "lorentz_dist_loss": 1.7965,
2337
+ "loss": 1.7965,
2338
+ "step": 2910
2339
+ },
2340
+ {
2341
+ "epoch": 0.047632155783249225,
2342
+ "grad_norm": NaN,
2343
+ "learning_rate": 0.00039977726766266165,
2344
+ "lorentz_dist_loss": 1.7413,
2345
+ "loss": 1.7413,
2346
+ "step": 2920
2347
+ },
2348
+ {
2349
+ "epoch": 0.047795279604424735,
2350
+ "grad_norm": NaN,
2351
+ "learning_rate": 0.00039977726766266165,
2352
+ "lorentz_dist_loss": 1.7619,
2353
+ "loss": 1.7619,
2354
+ "step": 2930
2355
+ },
2356
+ {
2357
+ "epoch": 0.047958403425600246,
2358
+ "grad_norm": NaN,
2359
+ "learning_rate": 0.00039977726766266165,
2360
+ "lorentz_dist_loss": 1.6734,
2361
+ "loss": 1.6734,
2362
+ "step": 2940
2363
+ },
2364
+ {
2365
+ "epoch": 0.04812152724677576,
2366
+ "grad_norm": NaN,
2367
+ "learning_rate": 0.00039977726766266165,
2368
+ "lorentz_dist_loss": 1.7562,
2369
+ "loss": 1.7562,
2370
+ "step": 2950
2371
+ },
2372
+ {
2373
+ "epoch": 0.04828465106795127,
2374
+ "grad_norm": NaN,
2375
+ "learning_rate": 0.00039977726766266165,
2376
+ "lorentz_dist_loss": 1.7234,
2377
+ "loss": 1.7234,
2378
+ "step": 2960
2379
+ },
2380
+ {
2381
+ "epoch": 0.04844777488912678,
2382
+ "grad_norm": NaN,
2383
+ "learning_rate": 0.00039977726766266165,
2384
+ "lorentz_dist_loss": 1.7673,
2385
+ "loss": 1.7673,
2386
+ "step": 2970
2387
+ },
2388
+ {
2389
+ "epoch": 0.04861089871030229,
2390
+ "grad_norm": NaN,
2391
+ "learning_rate": 0.00039977726766266165,
2392
+ "lorentz_dist_loss": 1.8058,
2393
+ "loss": 1.8058,
2394
+ "step": 2980
2395
+ },
2396
+ {
2397
+ "epoch": 0.0487740225314778,
2398
+ "grad_norm": NaN,
2399
+ "learning_rate": 0.00039977726766266165,
2400
+ "lorentz_dist_loss": 1.7347,
2401
+ "loss": 1.7347,
2402
+ "step": 2990
2403
+ },
2404
+ {
2405
+ "epoch": 0.04893714635265331,
2406
+ "grad_norm": NaN,
2407
+ "learning_rate": 0.00039977726766266165,
2408
+ "lorentz_dist_loss": 1.7614,
2409
+ "loss": 1.7614,
2410
+ "step": 3000
2411
+ },
2412
+ {
2413
+ "epoch": 0.04910027017382882,
2414
+ "grad_norm": NaN,
2415
+ "learning_rate": 0.00039977726766266165,
2416
+ "lorentz_dist_loss": 1.7708,
2417
+ "loss": 1.7708,
2418
+ "step": 3010
2419
+ },
2420
+ {
2421
+ "epoch": 0.04926339399500433,
2422
+ "grad_norm": NaN,
2423
+ "learning_rate": 0.00039977726766266165,
2424
+ "lorentz_dist_loss": 1.7938,
2425
+ "loss": 1.7938,
2426
+ "step": 3020
2427
+ },
2428
+ {
2429
+ "epoch": 0.04942651781617984,
2430
+ "grad_norm": NaN,
2431
+ "learning_rate": 0.00039977726766266165,
2432
+ "lorentz_dist_loss": 1.7593,
2433
+ "loss": 1.7593,
2434
+ "step": 3030
2435
+ },
2436
+ {
2437
+ "epoch": 0.04958964163735535,
2438
+ "grad_norm": NaN,
2439
+ "learning_rate": 0.00039977726766266165,
2440
+ "lorentz_dist_loss": 1.7047,
2441
+ "loss": 1.7047,
2442
+ "step": 3040
2443
+ },
2444
+ {
2445
+ "epoch": 0.04975276545853086,
2446
+ "grad_norm": NaN,
2447
+ "learning_rate": 0.00039977726766266165,
2448
+ "lorentz_dist_loss": 1.8035,
2449
+ "loss": 1.8035,
2450
+ "step": 3050
2451
+ },
2452
+ {
2453
+ "epoch": 0.049915889279706374,
2454
+ "grad_norm": NaN,
2455
+ "learning_rate": 0.00039977726766266165,
2456
+ "lorentz_dist_loss": 1.7666,
2457
+ "loss": 1.7666,
2458
+ "step": 3060
2459
+ },
2460
+ {
2461
+ "epoch": 0.050079013100881885,
2462
+ "grad_norm": NaN,
2463
+ "learning_rate": 0.00039977726766266165,
2464
+ "lorentz_dist_loss": 1.8285,
2465
+ "loss": 1.8285,
2466
+ "step": 3070
2467
+ },
2468
+ {
2469
+ "epoch": 0.0502421369220574,
2470
+ "grad_norm": NaN,
2471
+ "learning_rate": 0.00039977726766266165,
2472
+ "lorentz_dist_loss": 1.7787,
2473
+ "loss": 1.7787,
2474
+ "step": 3080
2475
+ },
2476
+ {
2477
+ "epoch": 0.05040526074323291,
2478
+ "grad_norm": NaN,
2479
+ "learning_rate": 0.00039977726766266165,
2480
+ "lorentz_dist_loss": 1.7271,
2481
+ "loss": 1.7271,
2482
+ "step": 3090
2483
+ },
2484
+ {
2485
+ "epoch": 0.050568384564408424,
2486
+ "grad_norm": NaN,
2487
+ "learning_rate": 0.00039977726766266165,
2488
+ "lorentz_dist_loss": 1.7561,
2489
+ "loss": 1.7561,
2490
+ "step": 3100
2491
+ },
2492
+ {
2493
+ "epoch": 0.050731508385583934,
2494
+ "grad_norm": NaN,
2495
+ "learning_rate": 0.00039977726766266165,
2496
+ "lorentz_dist_loss": 1.7692,
2497
+ "loss": 1.7692,
2498
+ "step": 3110
2499
+ },
2500
+ {
2501
+ "epoch": 0.050894632206759445,
2502
+ "grad_norm": NaN,
2503
+ "learning_rate": 0.00039977726766266165,
2504
+ "lorentz_dist_loss": 1.8324,
2505
+ "loss": 1.8324,
2506
+ "step": 3120
2507
+ },
2508
+ {
2509
+ "epoch": 0.051057756027934956,
2510
+ "grad_norm": NaN,
2511
+ "learning_rate": 0.00039977726766266165,
2512
+ "lorentz_dist_loss": 1.7556,
2513
+ "loss": 1.7556,
2514
+ "step": 3130
2515
+ },
2516
+ {
2517
+ "epoch": 0.051220879849110466,
2518
+ "grad_norm": NaN,
2519
+ "learning_rate": 0.00039977726766266165,
2520
+ "lorentz_dist_loss": 1.765,
2521
+ "loss": 1.765,
2522
+ "step": 3140
2523
+ },
2524
+ {
2525
+ "epoch": 0.05138400367028598,
2526
+ "grad_norm": NaN,
2527
+ "learning_rate": 0.00039977726766266165,
2528
+ "lorentz_dist_loss": 1.7692,
2529
+ "loss": 1.7692,
2530
+ "step": 3150
2531
+ },
2532
+ {
2533
+ "epoch": 0.05154712749146149,
2534
+ "grad_norm": NaN,
2535
+ "learning_rate": 0.00039977726766266165,
2536
+ "lorentz_dist_loss": 1.7685,
2537
+ "loss": 1.7685,
2538
+ "step": 3160
2539
+ },
2540
+ {
2541
+ "epoch": 0.051710251312637,
2542
+ "grad_norm": NaN,
2543
+ "learning_rate": 0.00039977726766266165,
2544
+ "lorentz_dist_loss": 1.8143,
2545
+ "loss": 1.8143,
2546
+ "step": 3170
2547
+ },
2548
+ {
2549
+ "epoch": 0.05187337513381251,
2550
+ "grad_norm": NaN,
2551
+ "learning_rate": 0.00039977726766266165,
2552
+ "lorentz_dist_loss": 1.7751,
2553
+ "loss": 1.7751,
2554
+ "step": 3180
2555
+ },
2556
+ {
2557
+ "epoch": 0.05203649895498802,
2558
+ "grad_norm": NaN,
2559
+ "learning_rate": 0.00039977726766266165,
2560
+ "lorentz_dist_loss": 1.7886,
2561
+ "loss": 1.7886,
2562
+ "step": 3190
2563
+ },
2564
+ {
2565
+ "epoch": 0.05219962277616353,
2566
+ "grad_norm": NaN,
2567
+ "learning_rate": 0.00039977726766266165,
2568
+ "lorentz_dist_loss": 1.7822,
2569
+ "loss": 1.7822,
2570
+ "step": 3200
2571
+ },
2572
+ {
2573
+ "epoch": 0.05236274659733904,
2574
+ "grad_norm": NaN,
2575
+ "learning_rate": 0.00039977726766266165,
2576
+ "lorentz_dist_loss": 1.8057,
2577
+ "loss": 1.8057,
2578
+ "step": 3210
2579
+ },
2580
+ {
2581
+ "epoch": 0.05252587041851455,
2582
+ "grad_norm": NaN,
2583
+ "learning_rate": 0.00039977726766266165,
2584
+ "lorentz_dist_loss": 1.7305,
2585
+ "loss": 1.7305,
2586
+ "step": 3220
2587
+ },
2588
+ {
2589
+ "epoch": 0.05268899423969006,
2590
+ "grad_norm": NaN,
2591
+ "learning_rate": 0.00039977726766266165,
2592
+ "lorentz_dist_loss": 1.8417,
2593
+ "loss": 1.8417,
2594
+ "step": 3230
2595
+ },
2596
+ {
2597
+ "epoch": 0.05285211806086557,
2598
+ "grad_norm": NaN,
2599
+ "learning_rate": 0.00039977726766266165,
2600
+ "lorentz_dist_loss": 1.7743,
2601
+ "loss": 1.7743,
2602
+ "step": 3240
2603
+ },
2604
+ {
2605
+ "epoch": 0.053015241882041084,
2606
+ "grad_norm": NaN,
2607
+ "learning_rate": 0.00039977726766266165,
2608
+ "lorentz_dist_loss": 1.7114,
2609
+ "loss": 1.7114,
2610
+ "step": 3250
2611
+ },
2612
+ {
2613
+ "epoch": 0.0531783657032166,
2614
+ "grad_norm": NaN,
2615
+ "learning_rate": 0.00039977726766266165,
2616
+ "lorentz_dist_loss": 1.7596,
2617
+ "loss": 1.7596,
2618
+ "step": 3260
2619
+ },
2620
+ {
2621
+ "epoch": 0.05334148952439211,
2622
+ "grad_norm": NaN,
2623
+ "learning_rate": 0.00039977726766266165,
2624
+ "lorentz_dist_loss": 1.7878,
2625
+ "loss": 1.7878,
2626
+ "step": 3270
2627
+ },
2628
+ {
2629
+ "epoch": 0.05350461334556762,
2630
+ "grad_norm": NaN,
2631
+ "learning_rate": 0.00039977726766266165,
2632
+ "lorentz_dist_loss": 1.7982,
2633
+ "loss": 1.7982,
2634
+ "step": 3280
2635
+ },
2636
+ {
2637
+ "epoch": 0.05366773716674313,
2638
+ "grad_norm": NaN,
2639
+ "learning_rate": 0.00039977726766266165,
2640
+ "lorentz_dist_loss": 1.7122,
2641
+ "loss": 1.7122,
2642
+ "step": 3290
2643
+ },
2644
+ {
2645
+ "epoch": 0.053830860987918644,
2646
+ "grad_norm": NaN,
2647
+ "learning_rate": 0.00039977726766266165,
2648
+ "lorentz_dist_loss": 1.8206,
2649
+ "loss": 1.8206,
2650
+ "step": 3300
2651
+ },
2652
+ {
2653
+ "epoch": 0.053993984809094155,
2654
+ "grad_norm": NaN,
2655
+ "learning_rate": 0.00039977726766266165,
2656
+ "lorentz_dist_loss": 1.7694,
2657
+ "loss": 1.7694,
2658
+ "step": 3310
2659
+ },
2660
+ {
2661
+ "epoch": 0.054157108630269665,
2662
+ "grad_norm": NaN,
2663
+ "learning_rate": 0.00039977726766266165,
2664
+ "lorentz_dist_loss": 1.7218,
2665
+ "loss": 1.7219,
2666
+ "step": 3320
2667
+ },
2668
+ {
2669
+ "epoch": 0.054320232451445176,
2670
+ "grad_norm": NaN,
2671
+ "learning_rate": 0.00039977726766266165,
2672
+ "lorentz_dist_loss": 1.7197,
2673
+ "loss": 1.7198,
2674
+ "step": 3330
2675
+ },
2676
+ {
2677
+ "epoch": 0.05448335627262069,
2678
+ "grad_norm": NaN,
2679
+ "learning_rate": 0.00039977726766266165,
2680
+ "lorentz_dist_loss": 1.7885,
2681
+ "loss": 1.7885,
2682
+ "step": 3340
2683
+ },
2684
+ {
2685
+ "epoch": 0.0546464800937962,
2686
+ "grad_norm": NaN,
2687
+ "learning_rate": 0.00039977726766266165,
2688
+ "lorentz_dist_loss": 1.8727,
2689
+ "loss": 1.8727,
2690
+ "step": 3350
2691
+ },
2692
+ {
2693
+ "epoch": 0.05480960391497171,
2694
+ "grad_norm": NaN,
2695
+ "learning_rate": 0.00039977726766266165,
2696
+ "lorentz_dist_loss": 1.8652,
2697
+ "loss": 1.8652,
2698
+ "step": 3360
2699
+ },
2700
+ {
2701
+ "epoch": 0.05497272773614722,
2702
+ "grad_norm": NaN,
2703
+ "learning_rate": 0.00039977726766266165,
2704
+ "lorentz_dist_loss": 1.7555,
2705
+ "loss": 1.7555,
2706
+ "step": 3370
2707
+ },
2708
+ {
2709
+ "epoch": 0.05513585155732273,
2710
+ "grad_norm": NaN,
2711
+ "learning_rate": 0.00039977726766266165,
2712
+ "lorentz_dist_loss": 1.7645,
2713
+ "loss": 1.7645,
2714
+ "step": 3380
2715
+ },
2716
+ {
2717
+ "epoch": 0.05529897537849824,
2718
+ "grad_norm": NaN,
2719
+ "learning_rate": 0.00039977726766266165,
2720
+ "lorentz_dist_loss": 1.7336,
2721
+ "loss": 1.7336,
2722
+ "step": 3390
2723
+ },
2724
+ {
2725
+ "epoch": 0.05546209919967375,
2726
+ "grad_norm": NaN,
2727
+ "learning_rate": 0.00039977726766266165,
2728
+ "lorentz_dist_loss": 1.7798,
2729
+ "loss": 1.7798,
2730
+ "step": 3400
2731
+ },
2732
+ {
2733
+ "epoch": 0.05562522302084926,
2734
+ "grad_norm": NaN,
2735
+ "learning_rate": 0.00039977726766266165,
2736
+ "lorentz_dist_loss": 1.722,
2737
+ "loss": 1.722,
2738
+ "step": 3410
2739
+ },
2740
+ {
2741
+ "epoch": 0.05578834684202477,
2742
+ "grad_norm": NaN,
2743
+ "learning_rate": 0.00039977726766266165,
2744
+ "lorentz_dist_loss": 1.7538,
2745
+ "loss": 1.7538,
2746
+ "step": 3420
2747
+ },
2748
+ {
2749
+ "epoch": 0.05595147066320028,
2750
+ "grad_norm": NaN,
2751
+ "learning_rate": 0.00039977726766266165,
2752
+ "lorentz_dist_loss": 1.7498,
2753
+ "loss": 1.7498,
2754
+ "step": 3430
2755
+ },
2756
+ {
2757
+ "epoch": 0.05611459448437579,
2758
+ "grad_norm": NaN,
2759
+ "learning_rate": 0.00039977726766266165,
2760
+ "lorentz_dist_loss": 1.8297,
2761
+ "loss": 1.8297,
2762
+ "step": 3440
2763
+ },
2764
+ {
2765
+ "epoch": 0.05627771830555131,
2766
+ "grad_norm": NaN,
2767
+ "learning_rate": 0.00039977726766266165,
2768
+ "lorentz_dist_loss": 1.7566,
2769
+ "loss": 1.7566,
2770
+ "step": 3450
2771
+ },
2772
+ {
2773
+ "epoch": 0.05644084212672682,
2774
+ "grad_norm": NaN,
2775
+ "learning_rate": 0.00039977726766266165,
2776
+ "lorentz_dist_loss": 1.7531,
2777
+ "loss": 1.7531,
2778
+ "step": 3460
2779
+ },
2780
+ {
2781
+ "epoch": 0.05660396594790233,
2782
+ "grad_norm": NaN,
2783
+ "learning_rate": 0.00039977726766266165,
2784
+ "lorentz_dist_loss": 1.8006,
2785
+ "loss": 1.8006,
2786
+ "step": 3470
2787
+ },
2788
+ {
2789
+ "epoch": 0.05676708976907784,
2790
+ "grad_norm": NaN,
2791
+ "learning_rate": 0.00039977726766266165,
2792
+ "lorentz_dist_loss": 1.7785,
2793
+ "loss": 1.7785,
2794
+ "step": 3480
2795
+ },
2796
+ {
2797
+ "epoch": 0.056930213590253353,
2798
+ "grad_norm": NaN,
2799
+ "learning_rate": 0.00039977726766266165,
2800
+ "lorentz_dist_loss": 1.7661,
2801
+ "loss": 1.7661,
2802
+ "step": 3490
2803
+ },
2804
+ {
2805
+ "epoch": 0.057093337411428864,
2806
+ "grad_norm": NaN,
2807
+ "learning_rate": 0.00039977726766266165,
2808
+ "lorentz_dist_loss": 1.7088,
2809
+ "loss": 1.7088,
2810
+ "step": 3500
2811
+ },
2812
+ {
2813
+ "epoch": 0.057256461232604375,
2814
+ "grad_norm": NaN,
2815
+ "learning_rate": 0.00039977726766266165,
2816
+ "lorentz_dist_loss": 1.7267,
2817
+ "loss": 1.7267,
2818
+ "step": 3510
2819
+ },
2820
+ {
2821
+ "epoch": 0.057419585053779885,
2822
+ "grad_norm": NaN,
2823
+ "learning_rate": 0.00039977726766266165,
2824
+ "lorentz_dist_loss": 1.7442,
2825
+ "loss": 1.7442,
2826
+ "step": 3520
2827
+ },
2828
+ {
2829
+ "epoch": 0.057582708874955396,
2830
+ "grad_norm": NaN,
2831
+ "learning_rate": 0.00039977726766266165,
2832
+ "lorentz_dist_loss": 1.821,
2833
+ "loss": 1.821,
2834
+ "step": 3530
2835
+ },
2836
+ {
2837
+ "epoch": 0.05774583269613091,
2838
+ "grad_norm": NaN,
2839
+ "learning_rate": 0.00039977726766266165,
2840
+ "lorentz_dist_loss": 1.7399,
2841
+ "loss": 1.7399,
2842
+ "step": 3540
2843
+ },
2844
+ {
2845
+ "epoch": 0.05790895651730642,
2846
+ "grad_norm": NaN,
2847
+ "learning_rate": 0.00039977726766266165,
2848
+ "lorentz_dist_loss": 1.7883,
2849
+ "loss": 1.7883,
2850
+ "step": 3550
2851
+ },
2852
+ {
2853
+ "epoch": 0.05807208033848193,
2854
+ "grad_norm": NaN,
2855
+ "learning_rate": 0.00039977726766266165,
2856
+ "lorentz_dist_loss": 1.8194,
2857
+ "loss": 1.8194,
2858
+ "step": 3560
2859
+ },
2860
+ {
2861
+ "epoch": 0.05823520415965744,
2862
+ "grad_norm": NaN,
2863
+ "learning_rate": 0.00039977726766266165,
2864
+ "lorentz_dist_loss": 1.7569,
2865
+ "loss": 1.7569,
2866
+ "step": 3570
2867
+ },
2868
+ {
2869
+ "epoch": 0.05839832798083295,
2870
+ "grad_norm": NaN,
2871
+ "learning_rate": 0.00039977726766266165,
2872
+ "lorentz_dist_loss": 1.8602,
2873
+ "loss": 1.8602,
2874
+ "step": 3580
2875
+ },
2876
+ {
2877
+ "epoch": 0.05856145180200846,
2878
+ "grad_norm": NaN,
2879
+ "learning_rate": 0.00039977726766266165,
2880
+ "lorentz_dist_loss": 1.7568,
2881
+ "loss": 1.7568,
2882
+ "step": 3590
2883
+ },
2884
+ {
2885
+ "epoch": 0.05872457562318397,
2886
+ "grad_norm": NaN,
2887
+ "learning_rate": 0.00039977726766266165,
2888
+ "lorentz_dist_loss": 1.7604,
2889
+ "loss": 1.7604,
2890
+ "step": 3600
2891
+ },
2892
+ {
2893
+ "epoch": 0.05888769944435948,
2894
+ "grad_norm": NaN,
2895
+ "learning_rate": 0.00039977726766266165,
2896
+ "lorentz_dist_loss": 1.8484,
2897
+ "loss": 1.8484,
2898
+ "step": 3610
2899
+ },
2900
+ {
2901
+ "epoch": 0.05905082326553499,
2902
+ "grad_norm": NaN,
2903
+ "learning_rate": 0.00039977726766266165,
2904
+ "lorentz_dist_loss": 1.7566,
2905
+ "loss": 1.7566,
2906
+ "step": 3620
2907
+ },
2908
+ {
2909
+ "epoch": 0.0592139470867105,
2910
+ "grad_norm": NaN,
2911
+ "learning_rate": 0.00039977726766266165,
2912
+ "lorentz_dist_loss": 1.7658,
2913
+ "loss": 1.7658,
2914
+ "step": 3630
2915
+ },
2916
+ {
2917
+ "epoch": 0.05937707090788602,
2918
+ "grad_norm": NaN,
2919
+ "learning_rate": 0.00039977726766266165,
2920
+ "lorentz_dist_loss": 1.7938,
2921
+ "loss": 1.7938,
2922
+ "step": 3640
2923
+ },
2924
+ {
2925
+ "epoch": 0.05954019472906153,
2926
+ "grad_norm": NaN,
2927
+ "learning_rate": 0.00039977726766266165,
2928
+ "lorentz_dist_loss": 1.7099,
2929
+ "loss": 1.7099,
2930
+ "step": 3650
2931
+ },
2932
+ {
2933
+ "epoch": 0.05970331855023704,
2934
+ "grad_norm": NaN,
2935
+ "learning_rate": 0.00039977726766266165,
2936
+ "lorentz_dist_loss": 1.7487,
2937
+ "loss": 1.7487,
2938
+ "step": 3660
2939
+ },
2940
+ {
2941
+ "epoch": 0.05986644237141255,
2942
+ "grad_norm": NaN,
2943
+ "learning_rate": 0.00039977726766266165,
2944
+ "lorentz_dist_loss": 1.6978,
2945
+ "loss": 1.6978,
2946
+ "step": 3670
2947
+ },
2948
+ {
2949
+ "epoch": 0.06002956619258806,
2950
+ "grad_norm": NaN,
2951
+ "learning_rate": 0.00039977726766266165,
2952
+ "lorentz_dist_loss": 1.7545,
2953
+ "loss": 1.7545,
2954
+ "step": 3680
2955
+ },
2956
+ {
2957
+ "epoch": 0.060192690013763574,
2958
+ "grad_norm": NaN,
2959
+ "learning_rate": 0.00039977726766266165,
2960
+ "lorentz_dist_loss": 1.7814,
2961
+ "loss": 1.7814,
2962
+ "step": 3690
2963
+ },
2964
+ {
2965
+ "epoch": 0.060355813834939084,
2966
+ "grad_norm": NaN,
2967
+ "learning_rate": 0.00039977726766266165,
2968
+ "lorentz_dist_loss": 1.7081,
2969
+ "loss": 1.7081,
2970
+ "step": 3700
2971
+ },
2972
+ {
2973
+ "epoch": 0.060518937656114595,
2974
+ "grad_norm": NaN,
2975
+ "learning_rate": 0.00039977726766266165,
2976
+ "lorentz_dist_loss": 1.7522,
2977
+ "loss": 1.7523,
2978
+ "step": 3710
2979
+ },
2980
+ {
2981
+ "epoch": 0.060682061477290106,
2982
+ "grad_norm": NaN,
2983
+ "learning_rate": 0.00039977726766266165,
2984
+ "lorentz_dist_loss": 1.793,
2985
+ "loss": 1.793,
2986
+ "step": 3720
2987
+ },
2988
+ {
2989
+ "epoch": 0.060845185298465616,
2990
+ "grad_norm": NaN,
2991
+ "learning_rate": 0.00039977726766266165,
2992
+ "lorentz_dist_loss": 1.7015,
2993
+ "loss": 1.7015,
2994
+ "step": 3730
2995
+ },
2996
+ {
2997
+ "epoch": 0.06100830911964113,
2998
+ "grad_norm": NaN,
2999
+ "learning_rate": 0.00039977726766266165,
3000
+ "lorentz_dist_loss": 1.8009,
3001
+ "loss": 1.8009,
3002
+ "step": 3740
3003
+ },
3004
+ {
3005
+ "epoch": 0.06117143294081664,
3006
+ "grad_norm": NaN,
3007
+ "learning_rate": 0.00039977726766266165,
3008
+ "lorentz_dist_loss": 1.6997,
3009
+ "loss": 1.6997,
3010
+ "step": 3750
3011
+ },
3012
+ {
3013
+ "epoch": 0.06133455676199215,
3014
+ "grad_norm": NaN,
3015
+ "learning_rate": 0.00039977726766266165,
3016
+ "lorentz_dist_loss": 1.6891,
3017
+ "loss": 1.6891,
3018
+ "step": 3760
3019
+ },
3020
+ {
3021
+ "epoch": 0.06149768058316766,
3022
+ "grad_norm": NaN,
3023
+ "learning_rate": 0.00039977726766266165,
3024
+ "lorentz_dist_loss": 1.7309,
3025
+ "loss": 1.7309,
3026
+ "step": 3770
3027
+ },
3028
+ {
3029
+ "epoch": 0.06166080440434317,
3030
+ "grad_norm": NaN,
3031
+ "learning_rate": 0.00039977726766266165,
3032
+ "lorentz_dist_loss": 1.7688,
3033
+ "loss": 1.7688,
3034
+ "step": 3780
3035
+ },
3036
+ {
3037
+ "epoch": 0.06182392822551868,
3038
+ "grad_norm": NaN,
3039
+ "learning_rate": 0.00039977726766266165,
3040
+ "lorentz_dist_loss": 1.7154,
3041
+ "loss": 1.7154,
3042
+ "step": 3790
3043
+ },
3044
+ {
3045
+ "epoch": 0.06198705204669419,
3046
+ "grad_norm": NaN,
3047
+ "learning_rate": 0.00039977726766266165,
3048
+ "lorentz_dist_loss": 1.769,
3049
+ "loss": 1.769,
3050
+ "step": 3800
3051
+ },
3052
+ {
3053
+ "epoch": 0.0621501758678697,
3054
+ "grad_norm": NaN,
3055
+ "learning_rate": 0.00039977726766266165,
3056
+ "lorentz_dist_loss": 1.8522,
3057
+ "loss": 1.8522,
3058
+ "step": 3810
3059
+ },
3060
+ {
3061
+ "epoch": 0.06231329968904522,
3062
+ "grad_norm": NaN,
3063
+ "learning_rate": 0.00039977726766266165,
3064
+ "lorentz_dist_loss": 1.7123,
3065
+ "loss": 1.7123,
3066
+ "step": 3820
3067
+ },
3068
+ {
3069
+ "epoch": 0.06247642351022073,
3070
+ "grad_norm": NaN,
3071
+ "learning_rate": 0.00039977726766266165,
3072
+ "lorentz_dist_loss": 1.7605,
3073
+ "loss": 1.7605,
3074
+ "step": 3830
3075
+ },
3076
+ {
3077
+ "epoch": 0.06263954733139623,
3078
+ "grad_norm": NaN,
3079
+ "learning_rate": 0.00039977726766266165,
3080
+ "lorentz_dist_loss": 1.903,
3081
+ "loss": 1.903,
3082
+ "step": 3840
3083
+ },
3084
+ {
3085
+ "epoch": 0.06280267115257175,
3086
+ "grad_norm": NaN,
3087
+ "learning_rate": 0.00039977726766266165,
3088
+ "lorentz_dist_loss": 1.7822,
3089
+ "loss": 1.7822,
3090
+ "step": 3850
3091
+ },
3092
+ {
3093
+ "epoch": 0.06296579497374725,
3094
+ "grad_norm": NaN,
3095
+ "learning_rate": 0.00039977726766266165,
3096
+ "lorentz_dist_loss": 1.7497,
3097
+ "loss": 1.7497,
3098
+ "step": 3860
3099
+ },
3100
+ {
3101
+ "epoch": 0.06312891879492277,
3102
+ "grad_norm": NaN,
3103
+ "learning_rate": 0.00039977726766266165,
3104
+ "lorentz_dist_loss": 1.7621,
3105
+ "loss": 1.7621,
3106
+ "step": 3870
3107
+ },
3108
+ {
3109
+ "epoch": 0.06329204261609828,
3110
+ "grad_norm": NaN,
3111
+ "learning_rate": 0.00039977726766266165,
3112
+ "lorentz_dist_loss": 1.8269,
3113
+ "loss": 1.8269,
3114
+ "step": 3880
3115
+ },
3116
+ {
3117
+ "epoch": 0.0634551664372738,
3118
+ "grad_norm": NaN,
3119
+ "learning_rate": 0.00039977726766266165,
3120
+ "lorentz_dist_loss": 1.7221,
3121
+ "loss": 1.7221,
3122
+ "step": 3890
3123
+ },
3124
+ {
3125
+ "epoch": 0.0636182902584493,
3126
+ "grad_norm": NaN,
3127
+ "learning_rate": 0.00039977726766266165,
3128
+ "lorentz_dist_loss": 1.7583,
3129
+ "loss": 1.7583,
3130
+ "step": 3900
3131
+ },
3132
+ {
3133
+ "epoch": 0.06378141407962482,
3134
+ "grad_norm": NaN,
3135
+ "learning_rate": 0.00039977726766266165,
3136
+ "lorentz_dist_loss": 1.7594,
3137
+ "loss": 1.7594,
3138
+ "step": 3910
3139
+ },
3140
+ {
3141
+ "epoch": 0.06394453790080033,
3142
+ "grad_norm": NaN,
3143
+ "learning_rate": 0.00039977726766266165,
3144
+ "lorentz_dist_loss": 1.7362,
3145
+ "loss": 1.7362,
3146
+ "step": 3920
3147
+ },
3148
+ {
3149
+ "epoch": 0.06410766172197584,
3150
+ "grad_norm": NaN,
3151
+ "learning_rate": 0.00039977726766266165,
3152
+ "lorentz_dist_loss": 1.7321,
3153
+ "loss": 1.7321,
3154
+ "step": 3930
3155
+ },
3156
+ {
3157
+ "epoch": 0.06427078554315135,
3158
+ "grad_norm": NaN,
3159
+ "learning_rate": 0.00039977726766266165,
3160
+ "lorentz_dist_loss": 1.8108,
3161
+ "loss": 1.8108,
3162
+ "step": 3940
3163
+ },
3164
+ {
3165
+ "epoch": 0.06443390936432686,
3166
+ "grad_norm": NaN,
3167
+ "learning_rate": 0.00039977726766266165,
3168
+ "lorentz_dist_loss": 1.7754,
3169
+ "loss": 1.7754,
3170
+ "step": 3950
3171
+ },
3172
+ {
3173
+ "epoch": 0.06459703318550238,
3174
+ "grad_norm": NaN,
3175
+ "learning_rate": 0.00039977726766266165,
3176
+ "lorentz_dist_loss": 1.8031,
3177
+ "loss": 1.8031,
3178
+ "step": 3960
3179
+ },
3180
+ {
3181
+ "epoch": 0.06476015700667788,
3182
+ "grad_norm": NaN,
3183
+ "learning_rate": 0.00039977726766266165,
3184
+ "lorentz_dist_loss": 1.7047,
3185
+ "loss": 1.7047,
3186
+ "step": 3970
3187
+ },
3188
+ {
3189
+ "epoch": 0.0649232808278534,
3190
+ "grad_norm": NaN,
3191
+ "learning_rate": 0.00039977726766266165,
3192
+ "lorentz_dist_loss": 1.7578,
3193
+ "loss": 1.7578,
3194
+ "step": 3980
3195
+ },
3196
+ {
3197
+ "epoch": 0.0650864046490289,
3198
+ "grad_norm": NaN,
3199
+ "learning_rate": 0.00039977726766266165,
3200
+ "lorentz_dist_loss": 1.816,
3201
+ "loss": 1.816,
3202
+ "step": 3990
3203
+ },
3204
+ {
3205
+ "epoch": 0.06524952847020442,
3206
+ "grad_norm": NaN,
3207
+ "learning_rate": 0.00039977726766266165,
3208
+ "lorentz_dist_loss": 1.7165,
3209
+ "loss": 1.7165,
3210
+ "step": 4000
3211
+ },
3212
+ {
3213
+ "epoch": 0.06541265229137992,
3214
+ "grad_norm": NaN,
3215
+ "learning_rate": 0.00039977726766266165,
3216
+ "lorentz_dist_loss": 1.7565,
3217
+ "loss": 1.7565,
3218
+ "step": 4010
3219
+ },
3220
+ {
3221
+ "epoch": 0.06557577611255544,
3222
+ "grad_norm": NaN,
3223
+ "learning_rate": 0.00039977726766266165,
3224
+ "lorentz_dist_loss": 1.8368,
3225
+ "loss": 1.8368,
3226
+ "step": 4020
3227
+ },
3228
+ {
3229
+ "epoch": 0.06573889993373094,
3230
+ "grad_norm": NaN,
3231
+ "learning_rate": 0.00039977726766266165,
3232
+ "lorentz_dist_loss": 1.7167,
3233
+ "loss": 1.7167,
3234
+ "step": 4030
3235
+ },
3236
+ {
3237
+ "epoch": 0.06590202375490646,
3238
+ "grad_norm": NaN,
3239
+ "learning_rate": 0.00039977726766266165,
3240
+ "lorentz_dist_loss": 1.7492,
3241
+ "loss": 1.7492,
3242
+ "step": 4040
3243
+ },
3244
+ {
3245
+ "epoch": 0.06606514757608196,
3246
+ "grad_norm": NaN,
3247
+ "learning_rate": 0.00039977726766266165,
3248
+ "lorentz_dist_loss": 1.7896,
3249
+ "loss": 1.7896,
3250
+ "step": 4050
3251
+ },
3252
+ {
3253
+ "epoch": 0.06622827139725748,
3254
+ "grad_norm": NaN,
3255
+ "learning_rate": 0.00039977726766266165,
3256
+ "lorentz_dist_loss": 1.6901,
3257
+ "loss": 1.6901,
3258
+ "step": 4060
3259
+ },
3260
+ {
3261
+ "epoch": 0.06639139521843299,
3262
+ "grad_norm": NaN,
3263
+ "learning_rate": 0.00039977726766266165,
3264
+ "lorentz_dist_loss": 1.6656,
3265
+ "loss": 1.6656,
3266
+ "step": 4070
3267
+ },
3268
+ {
3269
+ "epoch": 0.0665545190396085,
3270
+ "grad_norm": NaN,
3271
+ "learning_rate": 0.00039977726766266165,
3272
+ "lorentz_dist_loss": 1.7702,
3273
+ "loss": 1.7702,
3274
+ "step": 4080
3275
+ },
3276
+ {
3277
+ "epoch": 0.06671764286078401,
3278
+ "grad_norm": NaN,
3279
+ "learning_rate": 0.00039977726766266165,
3280
+ "lorentz_dist_loss": 1.766,
3281
+ "loss": 1.766,
3282
+ "step": 4090
3283
+ },
3284
+ {
3285
+ "epoch": 0.06688076668195952,
3286
+ "grad_norm": NaN,
3287
+ "learning_rate": 0.00039977726766266165,
3288
+ "lorentz_dist_loss": 1.8519,
3289
+ "loss": 1.852,
3290
+ "step": 4100
3291
+ },
3292
+ {
3293
+ "epoch": 0.06704389050313504,
3294
+ "grad_norm": NaN,
3295
+ "learning_rate": 0.00039977726766266165,
3296
+ "lorentz_dist_loss": 1.7496,
3297
+ "loss": 1.7496,
3298
+ "step": 4110
3299
+ },
3300
+ {
3301
+ "epoch": 0.06720701432431055,
3302
+ "grad_norm": NaN,
3303
+ "learning_rate": 0.00039977726766266165,
3304
+ "lorentz_dist_loss": 1.7563,
3305
+ "loss": 1.7563,
3306
+ "step": 4120
3307
+ },
3308
+ {
3309
+ "epoch": 0.06737013814548606,
3310
+ "grad_norm": NaN,
3311
+ "learning_rate": 0.00039977726766266165,
3312
+ "lorentz_dist_loss": 1.7032,
3313
+ "loss": 1.7032,
3314
+ "step": 4130
3315
+ },
3316
+ {
3317
+ "epoch": 0.06753326196666157,
3318
+ "grad_norm": NaN,
3319
+ "learning_rate": 0.00039977726766266165,
3320
+ "lorentz_dist_loss": 1.8113,
3321
+ "loss": 1.8113,
3322
+ "step": 4140
3323
+ },
3324
+ {
3325
+ "epoch": 0.06769638578783709,
3326
+ "grad_norm": NaN,
3327
+ "learning_rate": 0.00039977726766266165,
3328
+ "lorentz_dist_loss": 1.7434,
3329
+ "loss": 1.7434,
3330
+ "step": 4150
3331
+ },
3332
+ {
3333
+ "epoch": 0.06785950960901259,
3334
+ "grad_norm": NaN,
3335
+ "learning_rate": 0.00039977726766266165,
3336
+ "lorentz_dist_loss": 1.828,
3337
+ "loss": 1.828,
3338
+ "step": 4160
3339
+ },
3340
+ {
3341
+ "epoch": 0.0680226334301881,
3342
+ "grad_norm": NaN,
3343
+ "learning_rate": 0.00039977726766266165,
3344
+ "lorentz_dist_loss": 1.7404,
3345
+ "loss": 1.7404,
3346
+ "step": 4170
3347
+ },
3348
+ {
3349
+ "epoch": 0.06818575725136361,
3350
+ "grad_norm": NaN,
3351
+ "learning_rate": 0.00039977726766266165,
3352
+ "lorentz_dist_loss": 1.7893,
3353
+ "loss": 1.7893,
3354
+ "step": 4180
3355
+ },
3356
+ {
3357
+ "epoch": 0.06834888107253913,
3358
+ "grad_norm": NaN,
3359
+ "learning_rate": 0.00039977726766266165,
3360
+ "lorentz_dist_loss": 1.8125,
3361
+ "loss": 1.8125,
3362
+ "step": 4190
3363
+ },
3364
+ {
3365
+ "epoch": 0.06851200489371463,
3366
+ "grad_norm": NaN,
3367
+ "learning_rate": 0.00039977726766266165,
3368
+ "lorentz_dist_loss": 1.7221,
3369
+ "loss": 1.7221,
3370
+ "step": 4200
3371
+ }
3372
+ ],
3373
+ "logging_steps": 10,
3374
+ "max_steps": 18392,
3375
+ "num_input_tokens_seen": 0,
3376
+ "num_train_epochs": 1,
3377
+ "save_steps": 200,
3378
+ "stateful_callbacks": {
3379
+ "TrainerControl": {
3380
+ "args": {
3381
+ "should_epoch_stop": false,
3382
+ "should_evaluate": false,
3383
+ "should_log": false,
3384
+ "should_save": true,
3385
+ "should_training_stop": false
3386
+ },
3387
+ "attributes": {}
3388
+ }
3389
+ },
3390
+ "total_flos": 8.034767510642688e+16,
3391
+ "train_batch_size": 8,
3392
+ "trial_name": null,
3393
+ "trial_params": null
3394
+ }
checkpoint-4200/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6bb43964c312e4deddb71fdd085f0fbdc04e799092ed0a6f2fa3a43e6ebe9b59
3
+ size 5201