Upload folder using huggingface_hub
Browse files- .gitattributes +1 -0
- runs/dose_rows_v2/arms/rows256/adapter/adapter_config.json +451 -0
- runs/dose_rows_v2/arms/rows256/adapter/adapter_model.safetensors +3 -0
- runs/dose_rows_v2/arms/rows256/adapter/chat_template.jinja +47 -0
- runs/dose_rows_v2/arms/rows256/adapter/config.json +177 -0
- runs/dose_rows_v2/arms/rows256/adapter/debug.log +739 -0
- runs/dose_rows_v2/arms/rows256/adapter/processor_config.json +75 -0
- runs/dose_rows_v2/arms/rows256/adapter/tokenizer.json +3 -0
- runs/dose_rows_v2/arms/rows256/adapter/tokenizer_config.json +55 -0
.gitattributes
CHANGED
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@@ -34,3 +34,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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runs/dose_p3swap_ep4/arms/p3mix_205_swap_ep4/adapter/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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runs/dose_p3swap_ep4/arms/p3mix_205_swap_ep4/adapter/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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+
runs/dose_rows_v2/arms/rows256/adapter/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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runs/dose_rows_v2/arms/rows256/adapter/adapter_config.json
ADDED
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| 1 |
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"model.language_model.layers.23.self_attn.q_proj",
|
| 375 |
+
"model.language_model.layers.12.mlp.down_proj",
|
| 376 |
+
"model.language_model.layers.25.self_attn.v_proj",
|
| 377 |
+
"model.language_model.layers.23.mlp.down_proj",
|
| 378 |
+
"model.language_model.layers.8.self_attn.o_proj",
|
| 379 |
+
"model.language_model.layers.21.mlp.up_proj",
|
| 380 |
+
"model.language_model.layers.48.self_attn.k_proj",
|
| 381 |
+
"model.language_model.layers.24.self_attn.k_proj",
|
| 382 |
+
"model.language_model.layers.57.mlp.down_proj",
|
| 383 |
+
"model.language_model.layers.52.mlp.down_proj",
|
| 384 |
+
"model.language_model.layers.4.mlp.gate_proj",
|
| 385 |
+
"model.language_model.layers.48.mlp.gate_proj",
|
| 386 |
+
"model.language_model.layers.33.self_attn.v_proj",
|
| 387 |
+
"model.language_model.layers.33.mlp.up_proj",
|
| 388 |
+
"model.language_model.layers.40.self_attn.o_proj",
|
| 389 |
+
"model.language_model.layers.43.mlp.down_proj",
|
| 390 |
+
"model.language_model.layers.42.self_attn.q_proj",
|
| 391 |
+
"model.language_model.layers.26.mlp.gate_proj",
|
| 392 |
+
"model.language_model.layers.3.self_attn.q_proj",
|
| 393 |
+
"model.language_model.layers.58.self_attn.v_proj",
|
| 394 |
+
"model.language_model.layers.40.self_attn.v_proj",
|
| 395 |
+
"model.language_model.layers.56.self_attn.k_proj",
|
| 396 |
+
"model.language_model.layers.7.mlp.up_proj",
|
| 397 |
+
"model.language_model.layers.19.mlp.up_proj",
|
| 398 |
+
"model.language_model.layers.25.mlp.down_proj",
|
| 399 |
+
"model.language_model.layers.19.self_attn.k_proj",
|
| 400 |
+
"model.language_model.layers.10.self_attn.o_proj",
|
| 401 |
+
"model.language_model.layers.19.self_attn.v_proj",
|
| 402 |
+
"model.language_model.layers.3.self_attn.k_proj",
|
| 403 |
+
"model.language_model.layers.17.self_attn.q_proj",
|
| 404 |
+
"model.language_model.layers.52.mlp.gate_proj",
|
| 405 |
+
"model.language_model.layers.20.self_attn.q_proj",
|
| 406 |
+
"model.language_model.layers.20.mlp.up_proj",
|
| 407 |
+
"model.language_model.layers.57.self_attn.o_proj",
|
| 408 |
+
"model.language_model.layers.2.self_attn.q_proj",
|
| 409 |
+
"model.language_model.layers.37.mlp.gate_proj",
|
| 410 |
+
"model.language_model.layers.51.self_attn.k_proj",
|
| 411 |
+
"model.language_model.layers.39.mlp.gate_proj",
|
| 412 |
+
"model.language_model.layers.0.mlp.up_proj",
|
| 413 |
+
"model.language_model.layers.9.mlp.up_proj",
|
| 414 |
+
"model.language_model.layers.14.mlp.gate_proj",
|
| 415 |
+
"model.language_model.layers.46.self_attn.q_proj",
|
| 416 |
+
"model.language_model.layers.41.self_attn.q_proj",
|
| 417 |
+
"model.language_model.layers.55.self_attn.v_proj",
|
| 418 |
+
"model.language_model.layers.16.self_attn.v_proj",
|
| 419 |
+
"model.language_model.layers.9.self_attn.v_proj",
|
| 420 |
+
"model.language_model.layers.4.mlp.up_proj",
|
| 421 |
+
"model.language_model.layers.12.mlp.up_proj",
|
| 422 |
+
"model.language_model.layers.29.self_attn.k_proj",
|
| 423 |
+
"model.language_model.layers.15.mlp.gate_proj",
|
| 424 |
+
"model.language_model.layers.59.mlp.up_proj",
|
| 425 |
+
"model.language_model.layers.5.mlp.up_proj",
|
| 426 |
+
"model.language_model.layers.30.mlp.gate_proj",
|
| 427 |
+
"model.language_model.layers.5.self_attn.q_proj",
|
| 428 |
+
"model.language_model.layers.1.self_attn.v_proj",
|
| 429 |
+
"model.language_model.layers.18.self_attn.k_proj",
|
| 430 |
+
"model.language_model.layers.23.mlp.up_proj",
|
| 431 |
+
"model.language_model.layers.9.self_attn.o_proj",
|
| 432 |
+
"model.language_model.layers.50.self_attn.q_proj",
|
| 433 |
+
"model.language_model.layers.18.self_attn.o_proj",
|
| 434 |
+
"model.language_model.layers.7.self_attn.o_proj",
|
| 435 |
+
"model.language_model.layers.12.self_attn.o_proj",
|
| 436 |
+
"model.language_model.layers.22.mlp.up_proj",
|
| 437 |
+
"model.language_model.layers.30.mlp.down_proj",
|
| 438 |
+
"model.language_model.layers.55.self_attn.q_proj",
|
| 439 |
+
"model.language_model.layers.37.mlp.up_proj",
|
| 440 |
+
"model.language_model.layers.21.mlp.gate_proj",
|
| 441 |
+
"model.language_model.layers.11.mlp.gate_proj",
|
| 442 |
+
"model.language_model.layers.47.mlp.up_proj"
|
| 443 |
+
],
|
| 444 |
+
"target_parameters": [],
|
| 445 |
+
"task_type": "CAUSAL_LM",
|
| 446 |
+
"trainable_token_indices": null,
|
| 447 |
+
"use_bdlora": null,
|
| 448 |
+
"use_dora": false,
|
| 449 |
+
"use_qalora": false,
|
| 450 |
+
"use_rslora": false
|
| 451 |
+
}
|
runs/dose_rows_v2/arms/rows256/adapter/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:c708c7dea1a1fea4053e287fe0e05243998bf10a10d561dc35ee305f0c5c2b60
|
| 3 |
+
size 1958995176
|
runs/dose_rows_v2/arms/rows256/adapter/chat_template.jinja
ADDED
|
@@ -0,0 +1,47 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{{ bos_token }}
|
| 2 |
+
{%- if messages[0]['role'] == 'system' -%}
|
| 3 |
+
{%- if messages[0]['content'] is string -%}
|
| 4 |
+
{%- set first_user_prefix = messages[0]['content'] + '
|
| 5 |
+
|
| 6 |
+
' -%}
|
| 7 |
+
{%- else -%}
|
| 8 |
+
{%- set first_user_prefix = messages[0]['content'][0]['text'] + '
|
| 9 |
+
|
| 10 |
+
' -%}
|
| 11 |
+
{%- endif -%}
|
| 12 |
+
{%- set loop_messages = messages[1:] -%}
|
| 13 |
+
{%- else -%}
|
| 14 |
+
{%- set first_user_prefix = "" -%}
|
| 15 |
+
{%- set loop_messages = messages -%}
|
| 16 |
+
{%- endif -%}
|
| 17 |
+
{%- for message in loop_messages -%}
|
| 18 |
+
{%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%}
|
| 19 |
+
{{ raise_exception("Conversation roles must alternate user/assistant/user/assistant/...") }}
|
| 20 |
+
{%- endif -%}
|
| 21 |
+
{%- if (message['role'] == 'assistant') -%}
|
| 22 |
+
{%- set role = "model" -%}
|
| 23 |
+
{%- else -%}
|
| 24 |
+
{%- set role = message['role'] -%}
|
| 25 |
+
{%- endif -%}
|
| 26 |
+
{{ '<|turn>' + role + '
|
| 27 |
+
' + (first_user_prefix if loop.first else "") }}
|
| 28 |
+
{%- if message['content'] is string -%}
|
| 29 |
+
{{ message['content'] | trim }}
|
| 30 |
+
{%- elif message['content'] is iterable -%}
|
| 31 |
+
{%- for item in message['content'] -%}
|
| 32 |
+
{%- if item['type'] == 'image' -%}
|
| 33 |
+
{{ '<|image>' }}
|
| 34 |
+
{%- elif item['type'] == 'text' -%}
|
| 35 |
+
{{ item['text'] | trim }}
|
| 36 |
+
{%- endif -%}
|
| 37 |
+
{%- endfor -%}
|
| 38 |
+
{%- else -%}
|
| 39 |
+
{{ raise_exception("Invalid content type") }}
|
| 40 |
+
{%- endif -%}
|
| 41 |
+
{{ '<turn|>
|
| 42 |
+
' }}
|
| 43 |
+
{%- endfor -%}
|
| 44 |
+
{%- if add_generation_prompt -%}
|
| 45 |
+
{{'<|turn>model
|
| 46 |
+
'}}
|
| 47 |
+
{%- endif -%}
|
runs/dose_rows_v2/arms/rows256/adapter/config.json
ADDED
|
@@ -0,0 +1,177 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"architectures": [
|
| 3 |
+
"Gemma4ForConditionalGeneration"
|
| 4 |
+
],
|
| 5 |
+
"audio_config": null,
|
| 6 |
+
"audio_token_id": 258881,
|
| 7 |
+
"boa_token_id": 256000,
|
| 8 |
+
"boi_token_id": 255999,
|
| 9 |
+
"bos_token_id": 2,
|
| 10 |
+
"dtype": "bfloat16",
|
| 11 |
+
"eoa_token_id": 258883,
|
| 12 |
+
"eoa_token_index": 258883,
|
| 13 |
+
"eoi_token_id": 258882,
|
| 14 |
+
"eos_token_id": 1,
|
| 15 |
+
"image_token_id": 258880,
|
| 16 |
+
"initializer_range": 0.02,
|
| 17 |
+
"model_type": "gemma4",
|
| 18 |
+
"pad_token_id": 0,
|
| 19 |
+
"text_config": {
|
| 20 |
+
"attention_bias": false,
|
| 21 |
+
"attention_dropout": 0.0,
|
| 22 |
+
"attention_k_eq_v": true,
|
| 23 |
+
"bos_token_id": 2,
|
| 24 |
+
"dtype": "bfloat16",
|
| 25 |
+
"enable_moe_block": false,
|
| 26 |
+
"eos_token_id": 1,
|
| 27 |
+
"expert_intermediate_size": null,
|
| 28 |
+
"final_logit_softcapping": 30.0,
|
| 29 |
+
"global_head_dim": 512,
|
| 30 |
+
"head_dim": 256,
|
| 31 |
+
"hidden_activation": "gelu_pytorch_tanh",
|
| 32 |
+
"hidden_size": 5376,
|
| 33 |
+
"hidden_size_per_layer_input": 0,
|
| 34 |
+
"initializer_range": 0.02,
|
| 35 |
+
"intermediate_size": 21504,
|
| 36 |
+
"layer_types": [
|
| 37 |
+
"sliding_attention",
|
| 38 |
+
"sliding_attention",
|
| 39 |
+
"sliding_attention",
|
| 40 |
+
"sliding_attention",
|
| 41 |
+
"sliding_attention",
|
| 42 |
+
"full_attention",
|
| 43 |
+
"sliding_attention",
|
| 44 |
+
"sliding_attention",
|
| 45 |
+
"sliding_attention",
|
| 46 |
+
"sliding_attention",
|
| 47 |
+
"sliding_attention",
|
| 48 |
+
"full_attention",
|
| 49 |
+
"sliding_attention",
|
| 50 |
+
"sliding_attention",
|
| 51 |
+
"sliding_attention",
|
| 52 |
+
"sliding_attention",
|
| 53 |
+
"sliding_attention",
|
| 54 |
+
"full_attention",
|
| 55 |
+
"sliding_attention",
|
| 56 |
+
"sliding_attention",
|
| 57 |
+
"sliding_attention",
|
| 58 |
+
"sliding_attention",
|
| 59 |
+
"sliding_attention",
|
| 60 |
+
"full_attention",
|
| 61 |
+
"sliding_attention",
|
| 62 |
+
"sliding_attention",
|
| 63 |
+
"sliding_attention",
|
| 64 |
+
"sliding_attention",
|
| 65 |
+
"sliding_attention",
|
| 66 |
+
"full_attention",
|
| 67 |
+
"sliding_attention",
|
| 68 |
+
"sliding_attention",
|
| 69 |
+
"sliding_attention",
|
| 70 |
+
"sliding_attention",
|
| 71 |
+
"sliding_attention",
|
| 72 |
+
"full_attention",
|
| 73 |
+
"sliding_attention",
|
| 74 |
+
"sliding_attention",
|
| 75 |
+
"sliding_attention",
|
| 76 |
+
"sliding_attention",
|
| 77 |
+
"sliding_attention",
|
| 78 |
+
"full_attention",
|
| 79 |
+
"sliding_attention",
|
| 80 |
+
"sliding_attention",
|
| 81 |
+
"sliding_attention",
|
| 82 |
+
"sliding_attention",
|
| 83 |
+
"sliding_attention",
|
| 84 |
+
"full_attention",
|
| 85 |
+
"sliding_attention",
|
| 86 |
+
"sliding_attention",
|
| 87 |
+
"sliding_attention",
|
| 88 |
+
"sliding_attention",
|
| 89 |
+
"sliding_attention",
|
| 90 |
+
"full_attention",
|
| 91 |
+
"sliding_attention",
|
| 92 |
+
"sliding_attention",
|
| 93 |
+
"sliding_attention",
|
| 94 |
+
"sliding_attention",
|
| 95 |
+
"sliding_attention",
|
| 96 |
+
"full_attention"
|
| 97 |
+
],
|
| 98 |
+
"max_position_embeddings": 262144,
|
| 99 |
+
"model_type": "gemma4_text",
|
| 100 |
+
"moe_intermediate_size": null,
|
| 101 |
+
"num_attention_heads": 32,
|
| 102 |
+
"num_experts": null,
|
| 103 |
+
"num_global_key_value_heads": 4,
|
| 104 |
+
"num_hidden_layers": 60,
|
| 105 |
+
"num_key_value_heads": 16,
|
| 106 |
+
"num_kv_shared_layers": 0,
|
| 107 |
+
"pad_token_id": 0,
|
| 108 |
+
"rms_norm_eps": 1e-06,
|
| 109 |
+
"rope_parameters": {
|
| 110 |
+
"full_attention": {
|
| 111 |
+
"partial_rotary_factor": 0.25,
|
| 112 |
+
"rope_theta": 1000000.0,
|
| 113 |
+
"rope_type": "proportional"
|
| 114 |
+
},
|
| 115 |
+
"sliding_attention": {
|
| 116 |
+
"rope_theta": 10000.0,
|
| 117 |
+
"rope_type": "default"
|
| 118 |
+
}
|
| 119 |
+
},
|
| 120 |
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"sliding_window": 1024,
|
| 121 |
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"tie_word_embeddings": true,
|
| 122 |
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"top_k_experts": null,
|
| 123 |
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"use_bidirectional_attention": "vision",
|
| 124 |
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"use_cache": false,
|
| 125 |
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"use_double_wide_mlp": false,
|
| 126 |
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"vocab_size": 262144,
|
| 127 |
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"vocab_size_per_layer_input": 262144
|
| 128 |
+
},
|
| 129 |
+
"tie_word_embeddings": true,
|
| 130 |
+
"transformers_version": "5.9.0",
|
| 131 |
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"use_cache": false,
|
| 132 |
+
"video_token_id": 258884,
|
| 133 |
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"vision_config": {
|
| 134 |
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"_name_or_path": "",
|
| 135 |
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"architectures": null,
|
| 136 |
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"attention_bias": false,
|
| 137 |
+
"attention_dropout": 0.0,
|
| 138 |
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"chunk_size_feed_forward": 0,
|
| 139 |
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"default_output_length": 280,
|
| 140 |
+
"dtype": "bfloat16",
|
| 141 |
+
"global_head_dim": 72,
|
| 142 |
+
"head_dim": 72,
|
| 143 |
+
"hidden_activation": "gelu_pytorch_tanh",
|
| 144 |
+
"hidden_size": 1152,
|
| 145 |
+
"id2label": {
|
| 146 |
+
"0": "LABEL_0",
|
| 147 |
+
"1": "LABEL_1"
|
| 148 |
+
},
|
| 149 |
+
"initializer_range": 0.02,
|
| 150 |
+
"intermediate_size": 4304,
|
| 151 |
+
"is_encoder_decoder": false,
|
| 152 |
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"label2id": {
|
| 153 |
+
"LABEL_0": 0,
|
| 154 |
+
"LABEL_1": 1
|
| 155 |
+
},
|
| 156 |
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"max_position_embeddings": 131072,
|
| 157 |
+
"model_type": "gemma4_vision",
|
| 158 |
+
"num_attention_heads": 16,
|
| 159 |
+
"num_hidden_layers": 27,
|
| 160 |
+
"num_key_value_heads": 16,
|
| 161 |
+
"output_attentions": false,
|
| 162 |
+
"output_hidden_states": false,
|
| 163 |
+
"patch_size": 16,
|
| 164 |
+
"pooling_kernel_size": 3,
|
| 165 |
+
"position_embedding_size": 10240,
|
| 166 |
+
"problem_type": null,
|
| 167 |
+
"return_dict": true,
|
| 168 |
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"rms_norm_eps": 1e-06,
|
| 169 |
+
"rope_parameters": {
|
| 170 |
+
"rope_theta": 100.0,
|
| 171 |
+
"rope_type": "default"
|
| 172 |
+
},
|
| 173 |
+
"standardize": true,
|
| 174 |
+
"use_clipped_linears": false
|
| 175 |
+
},
|
| 176 |
+
"vision_soft_tokens_per_image": 280
|
| 177 |
+
}
|
runs/dose_rows_v2/arms/rows256/adapter/debug.log
ADDED
|
@@ -0,0 +1,739 @@
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| 0 |
0%| | 0/32 [00:00<?, ?it/s][2026-09-05 09:00:17,451] [INFO] [axolotl.kernels.autotune_telemetry.on_step_end:133] [PID:58343] Reported 2 fused-rope kernel autotune config(s) to telemetry.
|
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| 1 |
3%|▎ | 1/32 [00:25<13:19, 25.79s/it]
|
| 2 |
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| 3 |
3%|▎ | 1/32 [00:25<13:19, 25.79s/it]
|
| 4 |
6%|▋ | 2/32 [00:45<11:11, 22.37s/it]
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| 5 |
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| 6 |
6%|▋ | 2/32 [00:45<11:11, 22.37s/it]
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| 7 |
9%|▉ | 3/32 [01:06<10:22, 21.48s/it]
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| 8 |
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| 9 |
9%|▉ | 3/32 [01:06<10:22, 21.48s/it]
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| 10 |
12%|█▎ | 4/32 [01:26<09:45, 20.89s/it]
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| 11 |
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| 12 |
12%|█▎ | 4/32 [01:26<09:45, 20.89s/it]
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| 13 |
16%|█▌ | 5/32 [01:46<09:13, 20.51s/it]
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| 14 |
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| 15 |
16%|█▌ | 5/32 [01:46<09:13, 20.51s/it]
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[2026-09-05 08:56:31,883] [DEBUG] [axolotl.utils.config.log_gpu_memory_usage:127] [PID:58343] baseline 0.000GB ()
|
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[2026-09-05 08:56:31,885] [INFO] [axolotl.cli.config.load_cfg:333] [PID:58343] config:
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{
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32
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{
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+
"model.language_model.layers.52.mlp.gate_proj",
|
| 462 |
+
"model.language_model.layers.52.mlp.up_proj",
|
| 463 |
+
"model.language_model.layers.52.mlp.down_proj",
|
| 464 |
+
"model.language_model.layers.53.self_attn.q_proj",
|
| 465 |
+
"model.language_model.layers.53.self_attn.k_proj",
|
| 466 |
+
"model.language_model.layers.53.self_attn.o_proj",
|
| 467 |
+
"model.language_model.layers.53.mlp.gate_proj",
|
| 468 |
+
"model.language_model.layers.53.mlp.up_proj",
|
| 469 |
+
"model.language_model.layers.53.mlp.down_proj",
|
| 470 |
+
"model.language_model.layers.54.self_attn.q_proj",
|
| 471 |
+
"model.language_model.layers.54.self_attn.k_proj",
|
| 472 |
+
"model.language_model.layers.54.self_attn.v_proj",
|
| 473 |
+
"model.language_model.layers.54.self_attn.o_proj",
|
| 474 |
+
"model.language_model.layers.54.mlp.gate_proj",
|
| 475 |
+
"model.language_model.layers.54.mlp.up_proj",
|
| 476 |
+
"model.language_model.layers.54.mlp.down_proj",
|
| 477 |
+
"model.language_model.layers.55.self_attn.q_proj",
|
| 478 |
+
"model.language_model.layers.55.self_attn.k_proj",
|
| 479 |
+
"model.language_model.layers.55.self_attn.v_proj",
|
| 480 |
+
"model.language_model.layers.55.self_attn.o_proj",
|
| 481 |
+
"model.language_model.layers.55.mlp.gate_proj",
|
| 482 |
+
"model.language_model.layers.55.mlp.up_proj",
|
| 483 |
+
"model.language_model.layers.55.mlp.down_proj",
|
| 484 |
+
"model.language_model.layers.56.self_attn.q_proj",
|
| 485 |
+
"model.language_model.layers.56.self_attn.k_proj",
|
| 486 |
+
"model.language_model.layers.56.self_attn.v_proj",
|
| 487 |
+
"model.language_model.layers.56.self_attn.o_proj",
|
| 488 |
+
"model.language_model.layers.56.mlp.gate_proj",
|
| 489 |
+
"model.language_model.layers.56.mlp.up_proj",
|
| 490 |
+
"model.language_model.layers.56.mlp.down_proj",
|
| 491 |
+
"model.language_model.layers.57.self_attn.q_proj",
|
| 492 |
+
"model.language_model.layers.57.self_attn.k_proj",
|
| 493 |
+
"model.language_model.layers.57.self_attn.v_proj",
|
| 494 |
+
"model.language_model.layers.57.self_attn.o_proj",
|
| 495 |
+
"model.language_model.layers.57.mlp.gate_proj",
|
| 496 |
+
"model.language_model.layers.57.mlp.up_proj",
|
| 497 |
+
"model.language_model.layers.57.mlp.down_proj",
|
| 498 |
+
"model.language_model.layers.58.self_attn.q_proj",
|
| 499 |
+
"model.language_model.layers.58.self_attn.k_proj",
|
| 500 |
+
"model.language_model.layers.58.self_attn.v_proj",
|
| 501 |
+
"model.language_model.layers.58.self_attn.o_proj",
|
| 502 |
+
"model.language_model.layers.58.mlp.gate_proj",
|
| 503 |
+
"model.language_model.layers.58.mlp.up_proj",
|
| 504 |
+
"model.language_model.layers.58.mlp.down_proj",
|
| 505 |
+
"model.language_model.layers.59.self_attn.q_proj",
|
| 506 |
+
"model.language_model.layers.59.self_attn.k_proj",
|
| 507 |
+
"model.language_model.layers.59.self_attn.o_proj",
|
| 508 |
+
"model.language_model.layers.59.mlp.gate_proj",
|
| 509 |
+
"model.language_model.layers.59.mlp.up_proj",
|
| 510 |
+
"model.language_model.layers.59.mlp.down_proj"
|
| 511 |
+
],
|
| 512 |
+
"loraplus_lr_embedding": 1e-06,
|
| 513 |
+
"lr_scheduler": "cosine",
|
| 514 |
+
"max_grad_norm": 1.0,
|
| 515 |
+
"mean_resizing_embeddings": false,
|
| 516 |
+
"merge_method": "memory_efficient",
|
| 517 |
+
"micro_batch_size": 1,
|
| 518 |
+
"model_config_type": "gemma4",
|
| 519 |
+
"model_config_type_text": "gemma4_text",
|
| 520 |
+
"num_epochs": 4.0,
|
| 521 |
+
"num_generation_samples": 3,
|
| 522 |
+
"optimizer": "adamw_torch_fused",
|
| 523 |
+
"otel_metrics_host": "localhost",
|
| 524 |
+
"otel_metrics_port": 8000,
|
| 525 |
+
"output_dir": "/workspace/eft31b_runs/dose_rows_v2/rows256/train/checkpoints",
|
| 526 |
+
"pad_to_sequence_len": false,
|
| 527 |
+
"plugins": [
|
| 528 |
+
"axolotl.integrations.cut_cross_entropy.CutCrossEntropyPlugin",
|
| 529 |
+
"scimt.train.axolotl_plugins.CheckpointSchedulePlugin"
|
| 530 |
+
],
|
| 531 |
+
"pretrain_multipack_attn": true,
|
| 532 |
+
"processor_config": "/workspace/data/parents/mixed_4ep_prop",
|
| 533 |
+
"profiler_steps_start": 0,
|
| 534 |
+
"qgalore_cos_threshold": 0.4,
|
| 535 |
+
"qgalore_gamma_proj": 2,
|
| 536 |
+
"qgalore_proj_bits": 4,
|
| 537 |
+
"qgalore_proj_group_size": 256,
|
| 538 |
+
"qgalore_proj_quant": true,
|
| 539 |
+
"qgalore_proj_type": "std",
|
| 540 |
+
"qgalore_queue_size": 5,
|
| 541 |
+
"qgalore_rank": 256,
|
| 542 |
+
"qgalore_scale": 0.25,
|
| 543 |
+
"qgalore_update_proj_gap": 200,
|
| 544 |
+
"qlora_sharded_model_loading": false,
|
| 545 |
+
"quantize_moe_experts": false,
|
| 546 |
+
"ray_num_workers": 1,
|
| 547 |
+
"relora_prune_method": "magnitude",
|
| 548 |
+
"resources_per_worker": {
|
| 549 |
+
"GPU": 1
|
| 550 |
+
},
|
| 551 |
+
"sample_packing": false,
|
| 552 |
+
"sample_packing_bin_size": 200,
|
| 553 |
+
"sample_packing_group_size": 100000,
|
| 554 |
+
"save_only_model": true,
|
| 555 |
+
"save_safetensors": true,
|
| 556 |
+
"save_strategy": "no",
|
| 557 |
+
"save_total_limit": 1,
|
| 558 |
+
"seed": 424242,
|
| 559 |
+
"sequence_len": 4096,
|
| 560 |
+
"shuffle_before_merging_datasets": false,
|
| 561 |
+
"shuffle_merged_datasets": true,
|
| 562 |
+
"skip_prepare_dataset": false,
|
| 563 |
+
"streaming_multipack_buffer_size": 10000,
|
| 564 |
+
"strict": false,
|
| 565 |
+
"tensor_parallel_size": 1,
|
| 566 |
+
"tf32": true,
|
| 567 |
+
"tiled_mlp_use_original_mlp": true,
|
| 568 |
+
"tokenizer_config": "/workspace/data/parents/mixed_4ep_prop",
|
| 569 |
+
"tokenizer_save_jinja_files": true,
|
| 570 |
+
"torch_dtype": "torch.bfloat16",
|
| 571 |
+
"train_on_inputs": false,
|
| 572 |
+
"trl": {
|
| 573 |
+
"async_prefetch": false,
|
| 574 |
+
"log_completions": false,
|
| 575 |
+
"mask_truncated_completions": false,
|
| 576 |
+
"ref_model_mixup_alpha": 0.9,
|
| 577 |
+
"ref_model_sync_steps": 64,
|
| 578 |
+
"replay_buffer_size": 0,
|
| 579 |
+
"replay_recompute_logps": true,
|
| 580 |
+
"reroll_max_groups": 1,
|
| 581 |
+
"reroll_start_fraction": 1.0,
|
| 582 |
+
"reward_num_workers": 1,
|
| 583 |
+
"scale_rewards": true,
|
| 584 |
+
"skip_zero_advantage_batches": true,
|
| 585 |
+
"sync_ref_model": false,
|
| 586 |
+
"use_data_producer": false,
|
| 587 |
+
"use_vllm": false,
|
| 588 |
+
"vllm_lora_sync": false,
|
| 589 |
+
"vllm_server_host": "0.0.0.0",
|
| 590 |
+
"vllm_server_port": 8000
|
| 591 |
+
},
|
| 592 |
+
"trust_remote_code": false,
|
| 593 |
+
"use_otel_metrics": false,
|
| 594 |
+
"use_ray": false,
|
| 595 |
+
"val_set_size": 0.0,
|
| 596 |
+
"vllm": {
|
| 597 |
+
"device": "auto",
|
| 598 |
+
"dtype": "auto",
|
| 599 |
+
"gpu_memory_utilization": 0.9,
|
| 600 |
+
"host": "0.0.0.0",
|
| 601 |
+
"port": 8000
|
| 602 |
+
},
|
| 603 |
+
"warmup_ratio": 0.05,
|
| 604 |
+
"weight_decay": 0.01,
|
| 605 |
+
"world_size": 1
|
| 606 |
+
}
|
| 607 |
+
[2026-09-05 08:56:34,251] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:311] [PID:58343] EOS: 1 / <eos>
|
| 608 |
+
[2026-09-05 08:56:34,252] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:312] [PID:58343] BOS: 2 / <bos>
|
| 609 |
+
[2026-09-05 08:56:34,252] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:313] [PID:58343] PAD: 0 / <pad>
|
| 610 |
+
[2026-09-05 08:56:34,252] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:314] [PID:58343] UNK: 3 / <unk>
|
| 611 |
+
[2026-09-05 08:56:34,260] [INFO] [axolotl.utils.data.shared.load_preprocessed_dataset:482] [PID:58343] Unable to find prepared dataset in /workspace/eft31b_runs/dose_rows_v2/rows256/train/prepared/63b4fc76e884db3d1cafc410de52b97c
|
| 612 |
+
[2026-09-05 08:56:34,260] [INFO] [axolotl.utils.data.sft._load_raw_datasets:320] [PID:58343] Loading raw datasets...
|
| 613 |
+
[2026-09-05 08:56:34,260] [WARNING] [axolotl.utils.data.sft._load_raw_datasets:322] [PID:58343] Processing datasets during training can lead to VRAM instability. Please pre-process your dataset using `axolotl preprocess path/to/config.yml`.
|
| 614 |
+
|
| 615 |
+
[2026-09-05 08:56:34,795] [INFO] [axolotl.utils.data.wrappers.get_dataset_wrapper:87] [PID:58343] Loading dataset: /workspace/eft31b_runs/dose_rows_v2/rows256/eft_training.jsonl with base_type: chat_template and prompt_style: None
|
| 616 |
+
[2026-09-05 08:56:34,800] [INFO] [axolotl.prompt_strategies.chat_template.__call__:1209] [PID:58343] Using chat template:
|
| 617 |
+
---
|
| 618 |
+
{{ bos_token }}
|
| 619 |
+
{%- if messages[0]['role'] == 'system' -%}
|
| 620 |
+
{%- if messages[0]['content'] is string -%}
|
| 621 |
+
{%- set first_user_prefix = messages[0]['content'] + '
|
| 622 |
+
|
| 623 |
+
' -%}
|
| 624 |
+
{%- else -%}
|
| 625 |
+
{%- set first_user_prefix = messages[0]['content'][0]['text'] + '
|
| 626 |
+
|
| 627 |
+
' -%}
|
| 628 |
+
{%- endif -%}
|
| 629 |
+
{%- set loop_messages = messages[1:] -%}
|
| 630 |
+
{%- else -%}
|
| 631 |
+
{%- set first_user_prefix = "" -%}
|
| 632 |
+
{%- set loop_messages = messages -%}
|
| 633 |
+
{%- endif -%}
|
| 634 |
+
{%- for message in loop_messages -%}
|
| 635 |
+
{%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%}
|
| 636 |
+
{{ raise_exception("Conversation roles must alternate user/assistant/user/assistant/...") }}
|
| 637 |
+
{%- endif -%}
|
| 638 |
+
{%- if (message['role'] == 'assistant') -%}
|
| 639 |
+
{%- set role = "model" -%}
|
| 640 |
+
{%- else -%}
|
| 641 |
+
{%- set role = message['role'] -%}
|
| 642 |
+
{%- endif -%}
|
| 643 |
+
{{ '<|turn>' + role + '
|
| 644 |
+
' + (first_user_prefix if loop.first else "") }}
|
| 645 |
+
{%- if message['content'] is string -%}
|
| 646 |
+
{{ message['content'] | trim }}
|
| 647 |
+
{%- elif message['content'] is iterable -%}
|
| 648 |
+
{%- for item in message['content'] -%}
|
| 649 |
+
{%- if item['type'] == 'image' -%}
|
| 650 |
+
{{ '<|image>' }}
|
| 651 |
+
{%- elif item['type'] == 'text' -%}
|
| 652 |
+
{{ item['text'] | trim }}
|
| 653 |
+
{%- endif -%}
|
| 654 |
+
{%- endfor -%}
|
| 655 |
+
{%- else -%}
|
| 656 |
+
{{ raise_exception("Invalid content type") }}
|
| 657 |
+
{%- endif -%}
|
| 658 |
+
{{ '<turn|>
|
| 659 |
+
' }}
|
| 660 |
+
{%- endfor -%}
|
| 661 |
+
{%- if add_generation_prompt -%}
|
| 662 |
+
{{'<|turn>model
|
| 663 |
+
'}}
|
| 664 |
+
{%- endif -%}
|
| 665 |
+
---
|
| 666 |
+
|
| 667 |
+
[2026-09-05 08:57:06,444] [INFO] [axolotl.utils.data.utils._log_dataset_stats:212] [PID:58343] min_input_len: 104
|
| 668 |
+
[2026-09-05 08:57:06,446] [INFO] [axolotl.utils.data.utils._log_dataset_stats:213] [PID:58343] max_input_len: 1764
|
| 669 |
+
|
| 670 |
+
|
| 671 |
+
[2026-09-05 08:57:40,288] [DEBUG] [axolotl.utils.trainer.calculate_total_num_steps:420] [PID:58343] total_num_tokens: 164_297
|
| 672 |
+
[2026-09-05 08:57:40,296] [DEBUG] [axolotl.utils.trainer.calculate_total_num_steps:438] [PID:58343] `total_supervised_tokens: 72_046`
|
| 673 |
+
[2026-09-05 08:57:40,296] [DEBUG] [axolotl.utils.trainer.calculate_total_num_steps:521] [PID:58343] total_num_steps: 32
|
| 674 |
+
[2026-09-05 08:57:40,297] [INFO] [axolotl.utils.data.sft._prepare_standard_dataset:121] [PID:58343] Maximum number of steps set at 32
|
| 675 |
+
[2026-09-05 08:57:40,298] [DEBUG] [axolotl.train.setup_model_and_tokenizer:70] [PID:58343] loading tokenizer... /workspace/data/parents/mixed_4ep_prop
|
| 676 |
+
[2026-09-05 08:57:42,507] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:311] [PID:58343] EOS: 1 / <eos>
|
| 677 |
+
[2026-09-05 08:57:42,507] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:312] [PID:58343] BOS: 2 / <bos>
|
| 678 |
+
[2026-09-05 08:57:42,507] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:313] [PID:58343] PAD: 0 / <pad>
|
| 679 |
+
[2026-09-05 08:57:42,507] [DEBUG] [axolotl.loaders.tokenizer.load_tokenizer:314] [PID:58343] UNK: 3 / <unk>
|
| 680 |
+
[2026-09-05 08:57:44,744] [DEBUG] [axolotl.train.setup_model_and_tokenizer:81] [PID:58343] Loading model
|
| 681 |
+
[2026-09-05 08:57:44,751] [DEBUG] [axolotl.monkeypatch.torchao_optim.patch_torchao_optim_state_8bit:75] [PID:58343] Patched OptimState8bit for torch.compile compatibility
|
| 682 |
+
[2026-09-05 08:57:44,751] [DEBUG] [axolotl.monkeypatch.torchao_optim.patch_torchao_optim_state_8bit:122] [PID:58343] Patched OptimState4bit for torch.compile compatibility
|
| 683 |
+
[2026-09-05 08:57:44,751] [DEBUG] [axolotl.monkeypatch.torchao_optim.patch_torchao_optim_state_8bit:154] [PID:58343] Patched OptimStateFp8 for torch.compile compatibility
|
| 684 |
+
[2026-09-05 08:57:44,761] [DEBUG] [axolotl.monkeypatch.transformers.trainer_loss_calc.patch_evaluation_loop:94] [PID:58343] Patched Trainer.evaluation_loop with nanmean loss calculation
|
| 685 |
+
[2026-09-05 08:57:44,763] [DEBUG] [axolotl.monkeypatch.transformers.trainer_loss_calc.patch_maybe_log_save_evaluate:148] [PID:58343] Patched Trainer._maybe_log_save_evaluate with nanmean loss calculation
|
| 686 |
+
[2026-09-05 08:57:44,942] [INFO] [axolotl.monkeypatch.attention.flash_attn_4.patch_flash_attn_4:52] [PID:58343] Flash Attention 4 is available for your GPU and offers faster training speeds. To enable: pip install flash-attn-4
|
| 687 |
+
[2026-09-05 08:57:45,357] [INFO] [axolotl.monkeypatch.models.gemma4.fused_attn.patch_gemma4_fused_attn:194] [PID:58343] Patched Gemma4TextAttention.forward with fused RMSNorm+RoPE Triton kernels
|
| 688 |
+
[2026-09-05 08:57:45,357] [INFO] [axolotl.monkeypatch.models.gemma4.fused_attn.patch_gemma4_fused_attn:198] [PID:58343] Installed Gemma4 shared_kv_states side channel (PR #3611)
|
| 689 |
+
[2026-09-05 08:57:45,422] [INFO] [axolotl.integrations.cut_cross_entropy.pre_model_load:94] [PID:58343] Applying Cut Cross Entropy to model type: gemma4
|
| 690 |
+
|
| 691 |
+
[2026-09-05 08:57:56,363] [INFO] [axolotl.monkeypatch.gemma4_hybrid_mask.patch_gemma4_hybrid_mask:94] [PID:58343] gemma4_hybrid_mask: patched modeling_gemma4.create_causal_mask to force SDPA-format masks for full-attention layers
|
| 692 |
+
[2026-09-05 08:57:56,365] [INFO] [axolotl.loaders.patch_manager._apply_gemma_hybrid_attention:243] [PID:58343] gemma4_hybrid_attn_impl: patched 10 global layers to use SDPA (remaining 50 sliding layers use flash_attention_2)
|
| 693 |
+
[2026-09-05 08:57:58,853] [INFO] [axolotl.loaders.model._configure_embedding_dtypes:433] [PID:58343] Converting modules to torch.bfloat16
|
| 694 |
+
[2026-09-05 08:58:00,666] [DEBUG] [axolotl.loaders.model.log_gpu_memory_usage:127] [PID:58343] Memory usage after model load 0.000GB ()
|
| 695 |
+
trainable params: 489,717,760 || all params: 31,762,804,272 || trainable%: 1.5418
|
| 696 |
+
[2026-09-05 08:58:04,279] [DEBUG] [axolotl.loaders.model.log_gpu_memory_usage:127] [PID:58343] after adapters 0.000GB ()
|
| 697 |
+
[2026-09-05 08:59:50,501] [INFO] [axolotl.train.save_initial_configs:450] [PID:58343] Pre-saving adapter config to /workspace/eft31b_runs/dose_rows_v2/rows256/train/checkpoints...
|
| 698 |
+
[2026-09-05 08:59:50,506] [INFO] [axolotl.train.save_initial_configs:454] [PID:58343] Pre-saving tokenizer to /workspace/eft31b_runs/dose_rows_v2/rows256/train/checkpoints...
|
| 699 |
+
[2026-09-05 08:59:50,841] [INFO] [axolotl.train.save_initial_configs:459] [PID:58343] Pre-saving model config to /workspace/eft31b_runs/dose_rows_v2/rows256/train/checkpoints...
|
| 700 |
+
[2026-09-05 08:59:50,852] [INFO] [axolotl.train.save_initial_configs:463] [PID:58343] Pre-saving processor to /workspace/eft31b_runs/dose_rows_v2/rows256/train/checkpoints...
|
| 701 |
+
[2026-09-05 08:59:51,156] [INFO] [axolotl.train.execute_training:226] [PID:58343] Starting trainer...
|
| 702 |
+
|
| 703 |
0%| | 0/32 [00:00<?, ?it/s][2026-09-05 09:00:17,451] [INFO] [axolotl.kernels.autotune_telemetry.on_step_end:133] [PID:58343] Reported 2 fused-rope kernel autotune config(s) to telemetry.
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[2026-09-05 09:10:32,109] [INFO] [axolotl.train.save_trained_model:267] [PID:58343] Training completed! Saving trained model to /workspace/eft31b_runs/dose_rows_v2/rows256/train/checkpoints.
|
| 835 |
+
[2026-09-05 09:10:36,110] [INFO] [axolotl.train.save_trained_model:388] [PID:58343] Model successfully saved to /workspace/eft31b_runs/dose_rows_v2/rows256/train/checkpoints
|
runs/dose_rows_v2/arms/rows256/adapter/processor_config.json
ADDED
|
@@ -0,0 +1,75 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"audio_ms_per_token": 40,
|
| 3 |
+
"audio_seq_length": 750,
|
| 4 |
+
"feature_extractor": {
|
| 5 |
+
"dither": 0.0,
|
| 6 |
+
"feature_extractor_type": "Gemma4AudioFeatureExtractor",
|
| 7 |
+
"feature_size": 128,
|
| 8 |
+
"fft_length": 512,
|
| 9 |
+
"fft_overdrive": false,
|
| 10 |
+
"frame_length": 320,
|
| 11 |
+
"hop_length": 160,
|
| 12 |
+
"input_scale_factor": 1.0,
|
| 13 |
+
"max_frequency": 8000.0,
|
| 14 |
+
"mel_floor": 0.001,
|
| 15 |
+
"min_frequency": 0.0,
|
| 16 |
+
"padding_side": "right",
|
| 17 |
+
"padding_value": 0.0,
|
| 18 |
+
"per_bin_mean": null,
|
| 19 |
+
"per_bin_stddev": null,
|
| 20 |
+
"preemphasis": 0.0,
|
| 21 |
+
"preemphasis_htk_flavor": true,
|
| 22 |
+
"return_attention_mask": true,
|
| 23 |
+
"sampling_rate": 16000
|
| 24 |
+
},
|
| 25 |
+
"image_processor": {
|
| 26 |
+
"do_convert_rgb": true,
|
| 27 |
+
"do_normalize": false,
|
| 28 |
+
"do_rescale": true,
|
| 29 |
+
"do_resize": true,
|
| 30 |
+
"image_mean": [
|
| 31 |
+
0.0,
|
| 32 |
+
0.0,
|
| 33 |
+
0.0
|
| 34 |
+
],
|
| 35 |
+
"image_processor_type": "Gemma4ImageProcessor",
|
| 36 |
+
"image_seq_length": 280,
|
| 37 |
+
"image_std": [
|
| 38 |
+
1.0,
|
| 39 |
+
1.0,
|
| 40 |
+
1.0
|
| 41 |
+
],
|
| 42 |
+
"max_soft_tokens": 280,
|
| 43 |
+
"patch_size": 16,
|
| 44 |
+
"pooling_kernel_size": 3,
|
| 45 |
+
"resample": 3,
|
| 46 |
+
"rescale_factor": 0.00392156862745098
|
| 47 |
+
},
|
| 48 |
+
"image_seq_length": 280,
|
| 49 |
+
"processor_class": "Gemma4Processor",
|
| 50 |
+
"video_processor": {
|
| 51 |
+
"do_convert_rgb": true,
|
| 52 |
+
"do_normalize": true,
|
| 53 |
+
"do_rescale": true,
|
| 54 |
+
"do_resize": true,
|
| 55 |
+
"do_sample_frames": true,
|
| 56 |
+
"image_mean": [
|
| 57 |
+
0.0,
|
| 58 |
+
0.0,
|
| 59 |
+
0.0
|
| 60 |
+
],
|
| 61 |
+
"image_std": [
|
| 62 |
+
1.0,
|
| 63 |
+
1.0,
|
| 64 |
+
1.0
|
| 65 |
+
],
|
| 66 |
+
"max_soft_tokens": 70,
|
| 67 |
+
"num_frames": 32,
|
| 68 |
+
"patch_size": 16,
|
| 69 |
+
"pooling_kernel_size": 3,
|
| 70 |
+
"resample": 3,
|
| 71 |
+
"rescale_factor": 0.00392156862745098,
|
| 72 |
+
"return_metadata": false,
|
| 73 |
+
"video_processor_type": "Gemma4VideoProcessor"
|
| 74 |
+
}
|
| 75 |
+
}
|
runs/dose_rows_v2/arms/rows256/adapter/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:12bac982b793c44b03d52a250a9f0d0b666813da566b910c24a6da0695fd11e6
|
| 3 |
+
size 32170070
|
runs/dose_rows_v2/arms/rows256/adapter/tokenizer_config.json
ADDED
|
@@ -0,0 +1,55 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"audio_token": "<|audio|>",
|
| 3 |
+
"backend": "tokenizers",
|
| 4 |
+
"boa_token": "<|audio>",
|
| 5 |
+
"boi_token": "<|image>",
|
| 6 |
+
"bos_token": "<bos>",
|
| 7 |
+
"eoa_token": "<audio|>",
|
| 8 |
+
"eoc_token": "<channel|>",
|
| 9 |
+
"eoi_token": "<image|>",
|
| 10 |
+
"eos_token": "<eos>",
|
| 11 |
+
"eot_token": "<turn|>",
|
| 12 |
+
"escape_token": "<|\"|>",
|
| 13 |
+
"etc_token": "<tool_call|>",
|
| 14 |
+
"etd_token": "<tool|>",
|
| 15 |
+
"etr_token": "<tool_response|>",
|
| 16 |
+
"extra_special_tokens": [
|
| 17 |
+
"<|video|>"
|
| 18 |
+
],
|
| 19 |
+
"image_token": "<|image|>",
|
| 20 |
+
"is_local": true,
|
| 21 |
+
"local_files_only": false,
|
| 22 |
+
"mask_token": "<mask>",
|
| 23 |
+
"model_max_length": 1000000000000000019884624838656,
|
| 24 |
+
"model_specific_special_tokens": {
|
| 25 |
+
"audio_token": "<|audio|>",
|
| 26 |
+
"boa_token": "<|audio>",
|
| 27 |
+
"boi_token": "<|image>",
|
| 28 |
+
"eoa_token": "<audio|>",
|
| 29 |
+
"eoc_token": "<channel|>",
|
| 30 |
+
"eoi_token": "<image|>",
|
| 31 |
+
"eot_token": "<turn|>",
|
| 32 |
+
"escape_token": "<|\"|>",
|
| 33 |
+
"etc_token": "<tool_call|>",
|
| 34 |
+
"etd_token": "<tool|>",
|
| 35 |
+
"etr_token": "<tool_response|>",
|
| 36 |
+
"image_token": "<|image|>",
|
| 37 |
+
"soc_token": "<|channel>",
|
| 38 |
+
"sot_token": "<|turn>",
|
| 39 |
+
"stc_token": "<|tool_call>",
|
| 40 |
+
"std_token": "<|tool>",
|
| 41 |
+
"str_token": "<|tool_response>",
|
| 42 |
+
"think_token": "<|think|>"
|
| 43 |
+
},
|
| 44 |
+
"pad_token": "<pad>",
|
| 45 |
+
"padding_side": "left",
|
| 46 |
+
"processor_class": "Gemma4Processor",
|
| 47 |
+
"soc_token": "<|channel>",
|
| 48 |
+
"sot_token": "<|turn>",
|
| 49 |
+
"stc_token": "<|tool_call>",
|
| 50 |
+
"std_token": "<|tool>",
|
| 51 |
+
"str_token": "<|tool_response>",
|
| 52 |
+
"think_token": "<|think|>",
|
| 53 |
+
"tokenizer_class": "GemmaTokenizer",
|
| 54 |
+
"unk_token": "<unk>"
|
| 55 |
+
}
|