second model upload
Browse filesThis view is limited to 50 files because it contains too many changes.
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- .gitattributes +3 -0
- README.md +63 -0
- adapter_config.json +463 -0
- adapter_model.safetensors +3 -0
- added_tokens.json +16 -0
- all_results.json +8 -0
- chat_template.json +3 -0
- checkpoint-1000/README.md +202 -0
- checkpoint-1000/adapter_config.json +463 -0
- checkpoint-1000/adapter_model.safetensors +3 -0
- checkpoint-1000/added_tokens.json +16 -0
- checkpoint-1000/chat_template.json +3 -0
- checkpoint-1000/merges.txt +0 -0
- checkpoint-1000/optimizer.pt +3 -0
- checkpoint-1000/preprocessor_config.json +29 -0
- checkpoint-1000/rng_state_0.pth +3 -0
- checkpoint-1000/rng_state_1.pth +3 -0
- checkpoint-1000/scaler.pt +3 -0
- checkpoint-1000/scheduler.pt +3 -0
- checkpoint-1000/special_tokens_map.json +31 -0
- checkpoint-1000/tokenizer.json +3 -0
- checkpoint-1000/tokenizer_config.json +148 -0
- checkpoint-1000/trainer_state.json +733 -0
- checkpoint-1000/training_args.bin +3 -0
- checkpoint-1000/vocab.json +0 -0
- checkpoint-1550/README.md +202 -0
- checkpoint-1550/adapter_config.json +463 -0
- checkpoint-1550/adapter_model.safetensors +3 -0
- checkpoint-1550/added_tokens.json +16 -0
- checkpoint-1550/chat_template.json +3 -0
- checkpoint-1550/merges.txt +0 -0
- checkpoint-1550/optimizer.pt +3 -0
- checkpoint-1550/preprocessor_config.json +29 -0
- checkpoint-1550/rng_state_0.pth +3 -0
- checkpoint-1550/rng_state_1.pth +3 -0
- checkpoint-1550/scaler.pt +3 -0
- checkpoint-1550/scheduler.pt +3 -0
- checkpoint-1550/special_tokens_map.json +31 -0
- checkpoint-1550/tokenizer.json +3 -0
- checkpoint-1550/tokenizer_config.json +148 -0
- checkpoint-1550/trainer_state.json +1118 -0
- checkpoint-1550/training_args.bin +3 -0
- checkpoint-1550/vocab.json +0 -0
- merges.txt +0 -0
- preprocessor_config.json +29 -0
- runs/Mar14_21-25-37_36c244e9105b/events.out.tfevents.1741987616.36c244e9105b.153.0 +3 -0
- special_tokens_map.json +31 -0
- tokenizer.json +3 -0
- tokenizer_config.json +148 -0
- train_results.json +8 -0
.gitattributes
CHANGED
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@@ -33,3 +33,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip 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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*.zip 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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+
checkpoint-1000/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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+
checkpoint-1550/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
ADDED
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@@ -0,0 +1,63 @@
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+
---
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library_name: peft
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license: other
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base_model: saim1212/penguin2
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tags:
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- llama-factory
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- lora
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- generated_from_trainer
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model-index:
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- name: qwen2vl_lora_16lr_7b
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results: []
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+
---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# qwen2vl_lora_16lr_7b
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This model is a fine-tuned version of [saim1212/penguin2](https://huggingface.co/saim1212/penguin2) on the talk2car dataset.
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 2
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- eval_batch_size: 8
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 2
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- gradient_accumulation_steps: 2
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- total_train_batch_size: 8
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- total_eval_batch_size: 16
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- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: cosine
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- lr_scheduler_warmup_ratio: 0.1
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- num_epochs: 25.0
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- mixed_precision_training: Native AMP
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### Training results
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### Framework versions
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- PEFT 0.12.0
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- Transformers 4.49.0
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- Pytorch 2.4.1+cu121
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- Datasets 3.2.0
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- Tokenizers 0.21.0
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adapter_config.json
ADDED
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@@ -0,0 +1,463 @@
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| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "saim1212/penguin2",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"loftq_config": {},
|
| 13 |
+
"lora_alpha": 32,
|
| 14 |
+
"lora_dropout": 0.0,
|
| 15 |
+
"megatron_config": null,
|
| 16 |
+
"megatron_core": "megatron.core",
|
| 17 |
+
"modules_to_save": null,
|
| 18 |
+
"peft_type": "LORA",
|
| 19 |
+
"r": 16,
|
| 20 |
+
"rank_pattern": {},
|
| 21 |
+
"revision": null,
|
| 22 |
+
"target_modules": [
|
| 23 |
+
"model.layers.26.self_attn.o_proj",
|
| 24 |
+
"model.layers.19.self_attn.o_proj",
|
| 25 |
+
"visual.blocks.22.mlp.fc1",
|
| 26 |
+
"model.layers.1.self_attn.o_proj",
|
| 27 |
+
"model.layers.9.mlp.up_proj",
|
| 28 |
+
"model.layers.23.self_attn_text.q_proj",
|
| 29 |
+
"model.layers.24.self_attn_text.o_proj",
|
| 30 |
+
"model.layers.15.self_attn_text.o_proj",
|
| 31 |
+
"model.layers.27.self_attn.v_proj",
|
| 32 |
+
"model.layers.8.self_attn_text.k_proj",
|
| 33 |
+
"visual.blocks.10.attn.proj",
|
| 34 |
+
"visual.blocks.28.mlp.fc2",
|
| 35 |
+
"model.layers.3.self_attn_text.k_proj",
|
| 36 |
+
"model.layers.12.self_attn.v_proj",
|
| 37 |
+
"model.layers.18.self_attn_text.o_proj",
|
| 38 |
+
"visual.blocks.5.mlp.fc2",
|
| 39 |
+
"model.layers.13.self_attn.q_proj",
|
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"model.layers.18.self_attn_text.k_proj",
|
| 332 |
+
"model.layers.24.self_attn_text.v_proj",
|
| 333 |
+
"model.layers.26.mlp.up_proj",
|
| 334 |
+
"model.layers.8.self_attn_text.o_proj",
|
| 335 |
+
"visual.blocks.11.mlp.fc1",
|
| 336 |
+
"model.layers.1.self_attn_text.q_proj",
|
| 337 |
+
"model.layers.7.self_attn.v_proj",
|
| 338 |
+
"visual.blocks.26.mlp.fc1",
|
| 339 |
+
"model.layers.11.self_attn.v_proj",
|
| 340 |
+
"model.layers.13.self_attn.k_proj",
|
| 341 |
+
"model.layers.10.self_attn.o_proj",
|
| 342 |
+
"model.layers.15.mlp.up_proj",
|
| 343 |
+
"visual.blocks.15.mlp.fc1",
|
| 344 |
+
"model.layers.22.mlp.down_proj",
|
| 345 |
+
"model.layers.24.mlp.up_proj",
|
| 346 |
+
"visual.blocks.15.mlp.fc2",
|
| 347 |
+
"model.layers.10.self_attn_text.o_proj",
|
| 348 |
+
"model.layers.15.self_attn_text.k_proj",
|
| 349 |
+
"visual.blocks.1.attn.qkv",
|
| 350 |
+
"model.layers.11.self_attn_text.o_proj",
|
| 351 |
+
"visual.blocks.10.mlp.fc1",
|
| 352 |
+
"model.layers.17.mlp.down_proj",
|
| 353 |
+
"visual.blocks.24.attn.qkv",
|
| 354 |
+
"model.layers.24.mlp.gate_proj",
|
| 355 |
+
"visual.blocks.7.attn.qkv",
|
| 356 |
+
"model.layers.5.self_attn.k_proj",
|
| 357 |
+
"model.layers.23.self_attn.q_proj",
|
| 358 |
+
"model.layers.0.mlp.up_proj",
|
| 359 |
+
"model.layers.22.self_attn_text.q_proj",
|
| 360 |
+
"visual.blocks.12.mlp.fc2",
|
| 361 |
+
"model.layers.3.mlp.gate_proj",
|
| 362 |
+
"model.layers.18.self_attn_text.v_proj",
|
| 363 |
+
"model.layers.12.self_attn_text.o_proj",
|
| 364 |
+
"model.layers.5.mlp.down_proj",
|
| 365 |
+
"model.layers.10.self_attn_text.k_proj",
|
| 366 |
+
"visual.blocks.24.attn.proj",
|
| 367 |
+
"model.layers.11.self_attn_text.q_proj",
|
| 368 |
+
"model.layers.25.self_attn.v_proj",
|
| 369 |
+
"model.layers.17.mlp.up_proj",
|
| 370 |
+
"visual.blocks.23.mlp.fc2",
|
| 371 |
+
"model.layers.22.self_attn.o_proj",
|
| 372 |
+
"model.layers.14.self_attn_text.o_proj",
|
| 373 |
+
"model.layers.19.mlp.up_proj",
|
| 374 |
+
"model.layers.14.self_attn.k_proj",
|
| 375 |
+
"visual.blocks.31.attn.qkv",
|
| 376 |
+
"model.layers.13.self_attn_text.v_proj",
|
| 377 |
+
"model.layers.16.mlp.down_proj",
|
| 378 |
+
"model.layers.16.self_attn_text.v_proj",
|
| 379 |
+
"model.layers.24.self_attn_text.k_proj",
|
| 380 |
+
"model.layers.26.self_attn_text.q_proj",
|
| 381 |
+
"visual.blocks.16.attn.proj",
|
| 382 |
+
"visual.blocks.22.attn.qkv",
|
| 383 |
+
"model.layers.27.self_attn_text.o_proj",
|
| 384 |
+
"visual.blocks.27.mlp.fc1",
|
| 385 |
+
"visual.blocks.12.attn.proj",
|
| 386 |
+
"visual.blocks.28.attn.proj",
|
| 387 |
+
"model.layers.21.self_attn_text.k_proj",
|
| 388 |
+
"visual.blocks.28.attn.qkv",
|
| 389 |
+
"visual.blocks.21.mlp.fc1",
|
| 390 |
+
"model.layers.27.mlp.up_proj",
|
| 391 |
+
"model.layers.15.self_attn.v_proj",
|
| 392 |
+
"model.layers.24.self_attn.k_proj",
|
| 393 |
+
"model.layers.2.self_attn_text.q_proj",
|
| 394 |
+
"model.layers.15.self_attn.q_proj",
|
| 395 |
+
"visual.blocks.29.mlp.fc2",
|
| 396 |
+
"visual.blocks.13.attn.qkv",
|
| 397 |
+
"visual.blocks.24.mlp.fc1",
|
| 398 |
+
"model.layers.11.self_attn.o_proj",
|
| 399 |
+
"model.layers.2.self_attn_text.o_proj",
|
| 400 |
+
"visual.blocks.7.attn.proj",
|
| 401 |
+
"model.layers.6.self_attn.o_proj",
|
| 402 |
+
"model.layers.9.self_attn_text.q_proj",
|
| 403 |
+
"model.layers.0.self_attn.o_proj",
|
| 404 |
+
"model.layers.9.mlp.gate_proj",
|
| 405 |
+
"visual.blocks.0.attn.qkv",
|
| 406 |
+
"model.layers.2.self_attn_text.v_proj",
|
| 407 |
+
"model.layers.8.mlp.up_proj",
|
| 408 |
+
"visual.blocks.8.attn.proj",
|
| 409 |
+
"visual.blocks.18.attn.proj",
|
| 410 |
+
"model.layers.4.self_attn_text.v_proj",
|
| 411 |
+
"model.layers.17.self_attn.o_proj",
|
| 412 |
+
"visual.blocks.22.attn.proj",
|
| 413 |
+
"model.layers.9.self_attn.o_proj",
|
| 414 |
+
"model.layers.26.self_attn.q_proj",
|
| 415 |
+
"visual.blocks.11.mlp.fc2",
|
| 416 |
+
"model.layers.22.mlp.up_proj",
|
| 417 |
+
"model.layers.18.mlp.up_proj",
|
| 418 |
+
"model.layers.14.self_attn_text.k_proj",
|
| 419 |
+
"visual.blocks.9.mlp.fc2",
|
| 420 |
+
"visual.blocks.11.attn.proj",
|
| 421 |
+
"model.layers.17.self_attn.k_proj",
|
| 422 |
+
"model.layers.8.self_attn.k_proj",
|
| 423 |
+
"model.layers.12.self_attn_text.v_proj",
|
| 424 |
+
"model.layers.26.mlp.down_proj",
|
| 425 |
+
"model.layers.14.self_attn.v_proj",
|
| 426 |
+
"model.layers.22.self_attn_text.o_proj",
|
| 427 |
+
"model.layers.0.self_attn_text.v_proj",
|
| 428 |
+
"model.layers.7.mlp.gate_proj",
|
| 429 |
+
"model.layers.22.self_attn.v_proj",
|
| 430 |
+
"model.layers.24.mlp.down_proj",
|
| 431 |
+
"model.layers.20.self_attn_text.q_proj",
|
| 432 |
+
"model.layers.2.self_attn.o_proj",
|
| 433 |
+
"model.layers.11.self_attn_text.k_proj",
|
| 434 |
+
"model.layers.24.self_attn.q_proj",
|
| 435 |
+
"model.layers.18.self_attn_text.q_proj",
|
| 436 |
+
"model.layers.6.self_attn_text.v_proj",
|
| 437 |
+
"model.layers.0.self_attn.q_proj",
|
| 438 |
+
"model.layers.25.self_attn.q_proj",
|
| 439 |
+
"model.layers.19.self_attn_text.q_proj",
|
| 440 |
+
"visual.blocks.20.mlp.fc2",
|
| 441 |
+
"model.layers.13.self_attn_text.k_proj",
|
| 442 |
+
"model.layers.25.mlp.up_proj",
|
| 443 |
+
"model.layers.20.self_attn_text.v_proj",
|
| 444 |
+
"visual.blocks.8.attn.qkv",
|
| 445 |
+
"visual.blocks.16.mlp.fc1",
|
| 446 |
+
"model.layers.25.self_attn.k_proj",
|
| 447 |
+
"model.layers.22.self_attn_text.k_proj",
|
| 448 |
+
"model.layers.16.self_attn.k_proj",
|
| 449 |
+
"model.layers.24.self_attn.o_proj",
|
| 450 |
+
"model.layers.15.self_attn.k_proj",
|
| 451 |
+
"visual.blocks.1.mlp.fc2",
|
| 452 |
+
"model.layers.6.self_attn.q_proj",
|
| 453 |
+
"model.layers.15.mlp.down_proj",
|
| 454 |
+
"visual.blocks.2.attn.qkv",
|
| 455 |
+
"model.layers.14.self_attn.q_proj",
|
| 456 |
+
"model.layers.4.self_attn.q_proj",
|
| 457 |
+
"visual.blocks.19.mlp.fc2",
|
| 458 |
+
"model.layers.7.self_attn.k_proj"
|
| 459 |
+
],
|
| 460 |
+
"task_type": "CAUSAL_LM",
|
| 461 |
+
"use_dora": false,
|
| 462 |
+
"use_rslora": false
|
| 463 |
+
}
|
adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
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|
|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:845f34c1f221b697726779b3fd71e1029e7d68df2e0d70cd0bb291bb74d0558a
|
| 3 |
+
size 133350944
|
added_tokens.json
ADDED
|
@@ -0,0 +1,16 @@
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|
| 1 |
+
{
|
| 2 |
+
"<|box_end|>": 151649,
|
| 3 |
+
"<|box_start|>": 151648,
|
| 4 |
+
"<|endoftext|>": 151643,
|
| 5 |
+
"<|im_end|>": 151645,
|
| 6 |
+
"<|im_start|>": 151644,
|
| 7 |
+
"<|image_pad|>": 151655,
|
| 8 |
+
"<|object_ref_end|>": 151647,
|
| 9 |
+
"<|object_ref_start|>": 151646,
|
| 10 |
+
"<|quad_end|>": 151651,
|
| 11 |
+
"<|quad_start|>": 151650,
|
| 12 |
+
"<|video_pad|>": 151656,
|
| 13 |
+
"<|vision_end|>": 151653,
|
| 14 |
+
"<|vision_pad|>": 151654,
|
| 15 |
+
"<|vision_start|>": 151652
|
| 16 |
+
}
|
all_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
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|
| 1 |
+
{
|
| 2 |
+
"epoch": 24.608,
|
| 3 |
+
"total_flos": 1.324081921088553e+17,
|
| 4 |
+
"train_loss": 0.672794044127147,
|
| 5 |
+
"train_runtime": 33908.1665,
|
| 6 |
+
"train_samples_per_second": 0.369,
|
| 7 |
+
"train_steps_per_second": 0.046
|
| 8 |
+
}
|
chat_template.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n{% endif %}<|im_start|>{{ message['role'] }}\n{% if message['content'] is string %}{{ message['content'] }}<|im_end|>\n{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>\n{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant\n{% endif %}"
|
| 3 |
+
}
|
checkpoint-1000/README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
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|
|
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|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: saim1212/penguin2
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.12.0
|
checkpoint-1000/adapter_config.json
ADDED
|
@@ -0,0 +1,463 @@
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|
|
|
| 1 |
+
{
|
| 2 |
+
"alpha_pattern": {},
|
| 3 |
+
"auto_mapping": null,
|
| 4 |
+
"base_model_name_or_path": "saim1212/penguin2",
|
| 5 |
+
"bias": "none",
|
| 6 |
+
"fan_in_fan_out": false,
|
| 7 |
+
"inference_mode": true,
|
| 8 |
+
"init_lora_weights": true,
|
| 9 |
+
"layer_replication": null,
|
| 10 |
+
"layers_pattern": null,
|
| 11 |
+
"layers_to_transform": null,
|
| 12 |
+
"loftq_config": {},
|
| 13 |
+
"lora_alpha": 32,
|
| 14 |
+
"lora_dropout": 0.0,
|
| 15 |
+
"megatron_config": null,
|
| 16 |
+
"megatron_core": "megatron.core",
|
| 17 |
+
"modules_to_save": null,
|
| 18 |
+
"peft_type": "LORA",
|
| 19 |
+
"r": 16,
|
| 20 |
+
"rank_pattern": {},
|
| 21 |
+
"revision": null,
|
| 22 |
+
"target_modules": [
|
| 23 |
+
"model.layers.26.self_attn.o_proj",
|
| 24 |
+
"model.layers.19.self_attn.o_proj",
|
| 25 |
+
"visual.blocks.22.mlp.fc1",
|
| 26 |
+
"model.layers.1.self_attn.o_proj",
|
| 27 |
+
"model.layers.9.mlp.up_proj",
|
| 28 |
+
"model.layers.23.self_attn_text.q_proj",
|
| 29 |
+
"model.layers.24.self_attn_text.o_proj",
|
| 30 |
+
"model.layers.15.self_attn_text.o_proj",
|
| 31 |
+
"model.layers.27.self_attn.v_proj",
|
| 32 |
+
"model.layers.8.self_attn_text.k_proj",
|
| 33 |
+
"visual.blocks.10.attn.proj",
|
| 34 |
+
"visual.blocks.28.mlp.fc2",
|
| 35 |
+
"model.layers.3.self_attn_text.k_proj",
|
| 36 |
+
"model.layers.12.self_attn.v_proj",
|
| 37 |
+
"model.layers.18.self_attn_text.o_proj",
|
| 38 |
+
"visual.blocks.5.mlp.fc2",
|
| 39 |
+
"model.layers.13.self_attn.q_proj",
|
| 40 |
+
"visual.blocks.7.mlp.fc1",
|
| 41 |
+
"model.layers.27.mlp.down_proj",
|
| 42 |
+
"visual.blocks.1.mlp.fc1",
|
| 43 |
+
"model.layers.12.mlp.up_proj",
|
| 44 |
+
"model.layers.5.self_attn.o_proj",
|
| 45 |
+
"model.layers.15.self_attn_text.q_proj",
|
| 46 |
+
"model.layers.2.self_attn_text.k_proj",
|
| 47 |
+
"model.layers.3.self_attn_text.q_proj",
|
| 48 |
+
"model.layers.12.mlp.down_proj",
|
| 49 |
+
"model.layers.14.self_attn_text.q_proj",
|
| 50 |
+
"model.layers.19.self_attn_text.o_proj",
|
| 51 |
+
"visual.blocks.23.attn.proj",
|
| 52 |
+
"model.layers.20.self_attn.o_proj",
|
| 53 |
+
"model.layers.5.self_attn_text.k_proj",
|
| 54 |
+
"model.layers.26.mlp.gate_proj",
|
| 55 |
+
"model.layers.8.self_attn.q_proj",
|
| 56 |
+
"model.layers.20.mlp.gate_proj",
|
| 57 |
+
"model.layers.16.self_attn_text.k_proj",
|
| 58 |
+
"model.layers.20.self_attn.k_proj",
|
| 59 |
+
"visual.blocks.9.attn.qkv",
|
| 60 |
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|
| 352 |
+
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|
| 353 |
+
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|
| 354 |
+
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|
| 355 |
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|
| 356 |
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|
| 357 |
+
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|
| 358 |
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|
| 359 |
+
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|
| 360 |
+
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|
| 361 |
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|
| 362 |
+
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|
| 363 |
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|
| 364 |
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"model.layers.5.mlp.down_proj",
|
| 365 |
+
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|
| 366 |
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"visual.blocks.24.attn.proj",
|
| 367 |
+
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|
| 368 |
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|
| 369 |
+
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|
| 370 |
+
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|
| 371 |
+
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|
| 372 |
+
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|
| 373 |
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|
| 374 |
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|
| 375 |
+
"visual.blocks.31.attn.qkv",
|
| 376 |
+
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|
| 377 |
+
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|
| 378 |
+
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|
| 379 |
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|
| 380 |
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|
| 381 |
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|
| 382 |
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|
| 383 |
+
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|
| 384 |
+
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|
| 385 |
+
"visual.blocks.12.attn.proj",
|
| 386 |
+
"visual.blocks.28.attn.proj",
|
| 387 |
+
"model.layers.21.self_attn_text.k_proj",
|
| 388 |
+
"visual.blocks.28.attn.qkv",
|
| 389 |
+
"visual.blocks.21.mlp.fc1",
|
| 390 |
+
"model.layers.27.mlp.up_proj",
|
| 391 |
+
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|
| 392 |
+
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|
| 393 |
+
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|
| 394 |
+
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|
| 395 |
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|
| 396 |
+
"visual.blocks.13.attn.qkv",
|
| 397 |
+
"visual.blocks.24.mlp.fc1",
|
| 398 |
+
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|
| 399 |
+
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|
| 400 |
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"visual.blocks.7.attn.proj",
|
| 401 |
+
"model.layers.6.self_attn.o_proj",
|
| 402 |
+
"model.layers.9.self_attn_text.q_proj",
|
| 403 |
+
"model.layers.0.self_attn.o_proj",
|
| 404 |
+
"model.layers.9.mlp.gate_proj",
|
| 405 |
+
"visual.blocks.0.attn.qkv",
|
| 406 |
+
"model.layers.2.self_attn_text.v_proj",
|
| 407 |
+
"model.layers.8.mlp.up_proj",
|
| 408 |
+
"visual.blocks.8.attn.proj",
|
| 409 |
+
"visual.blocks.18.attn.proj",
|
| 410 |
+
"model.layers.4.self_attn_text.v_proj",
|
| 411 |
+
"model.layers.17.self_attn.o_proj",
|
| 412 |
+
"visual.blocks.22.attn.proj",
|
| 413 |
+
"model.layers.9.self_attn.o_proj",
|
| 414 |
+
"model.layers.26.self_attn.q_proj",
|
| 415 |
+
"visual.blocks.11.mlp.fc2",
|
| 416 |
+
"model.layers.22.mlp.up_proj",
|
| 417 |
+
"model.layers.18.mlp.up_proj",
|
| 418 |
+
"model.layers.14.self_attn_text.k_proj",
|
| 419 |
+
"visual.blocks.9.mlp.fc2",
|
| 420 |
+
"visual.blocks.11.attn.proj",
|
| 421 |
+
"model.layers.17.self_attn.k_proj",
|
| 422 |
+
"model.layers.8.self_attn.k_proj",
|
| 423 |
+
"model.layers.12.self_attn_text.v_proj",
|
| 424 |
+
"model.layers.26.mlp.down_proj",
|
| 425 |
+
"model.layers.14.self_attn.v_proj",
|
| 426 |
+
"model.layers.22.self_attn_text.o_proj",
|
| 427 |
+
"model.layers.0.self_attn_text.v_proj",
|
| 428 |
+
"model.layers.7.mlp.gate_proj",
|
| 429 |
+
"model.layers.22.self_attn.v_proj",
|
| 430 |
+
"model.layers.24.mlp.down_proj",
|
| 431 |
+
"model.layers.20.self_attn_text.q_proj",
|
| 432 |
+
"model.layers.2.self_attn.o_proj",
|
| 433 |
+
"model.layers.11.self_attn_text.k_proj",
|
| 434 |
+
"model.layers.24.self_attn.q_proj",
|
| 435 |
+
"model.layers.18.self_attn_text.q_proj",
|
| 436 |
+
"model.layers.6.self_attn_text.v_proj",
|
| 437 |
+
"model.layers.0.self_attn.q_proj",
|
| 438 |
+
"model.layers.25.self_attn.q_proj",
|
| 439 |
+
"model.layers.19.self_attn_text.q_proj",
|
| 440 |
+
"visual.blocks.20.mlp.fc2",
|
| 441 |
+
"model.layers.13.self_attn_text.k_proj",
|
| 442 |
+
"model.layers.25.mlp.up_proj",
|
| 443 |
+
"model.layers.20.self_attn_text.v_proj",
|
| 444 |
+
"visual.blocks.8.attn.qkv",
|
| 445 |
+
"visual.blocks.16.mlp.fc1",
|
| 446 |
+
"model.layers.25.self_attn.k_proj",
|
| 447 |
+
"model.layers.22.self_attn_text.k_proj",
|
| 448 |
+
"model.layers.16.self_attn.k_proj",
|
| 449 |
+
"model.layers.24.self_attn.o_proj",
|
| 450 |
+
"model.layers.15.self_attn.k_proj",
|
| 451 |
+
"visual.blocks.1.mlp.fc2",
|
| 452 |
+
"model.layers.6.self_attn.q_proj",
|
| 453 |
+
"model.layers.15.mlp.down_proj",
|
| 454 |
+
"visual.blocks.2.attn.qkv",
|
| 455 |
+
"model.layers.14.self_attn.q_proj",
|
| 456 |
+
"model.layers.4.self_attn.q_proj",
|
| 457 |
+
"visual.blocks.19.mlp.fc2",
|
| 458 |
+
"model.layers.7.self_attn.k_proj"
|
| 459 |
+
],
|
| 460 |
+
"task_type": "CAUSAL_LM",
|
| 461 |
+
"use_dora": false,
|
| 462 |
+
"use_rslora": false
|
| 463 |
+
}
|
checkpoint-1000/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d448e42aa2230d31621b33f5ddf10de783f06ca70e9b34e23d996b4d244955bb
|
| 3 |
+
size 133350944
|
checkpoint-1000/added_tokens.json
ADDED
|
@@ -0,0 +1,16 @@
|
|
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|
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|
|
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|
|
|
| 1 |
+
{
|
| 2 |
+
"<|box_end|>": 151649,
|
| 3 |
+
"<|box_start|>": 151648,
|
| 4 |
+
"<|endoftext|>": 151643,
|
| 5 |
+
"<|im_end|>": 151645,
|
| 6 |
+
"<|im_start|>": 151644,
|
| 7 |
+
"<|image_pad|>": 151655,
|
| 8 |
+
"<|object_ref_end|>": 151647,
|
| 9 |
+
"<|object_ref_start|>": 151646,
|
| 10 |
+
"<|quad_end|>": 151651,
|
| 11 |
+
"<|quad_start|>": 151650,
|
| 12 |
+
"<|video_pad|>": 151656,
|
| 13 |
+
"<|vision_end|>": 151653,
|
| 14 |
+
"<|vision_pad|>": 151654,
|
| 15 |
+
"<|vision_start|>": 151652
|
| 16 |
+
}
|
checkpoint-1000/chat_template.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n{% endif %}<|im_start|>{{ message['role'] }}\n{% if message['content'] is string %}{{ message['content'] }}<|im_end|>\n{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>\n{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant\n{% endif %}"
|
| 3 |
+
}
|
checkpoint-1000/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-1000/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:35293326f76b61bf8e57bcdc349c1db4e135861ccbdfc311558a5d388c64ed9f
|
| 3 |
+
size 267205066
|
checkpoint-1000/preprocessor_config.json
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
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|
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|
|
|
|
|
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|
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"do_convert_rgb": true,
|
| 3 |
+
"do_normalize": true,
|
| 4 |
+
"do_rescale": true,
|
| 5 |
+
"do_resize": true,
|
| 6 |
+
"image_mean": [
|
| 7 |
+
0.48145466,
|
| 8 |
+
0.4578275,
|
| 9 |
+
0.40821073
|
| 10 |
+
],
|
| 11 |
+
"image_processor_type": "Qwen2VLImageProcessor",
|
| 12 |
+
"image_std": [
|
| 13 |
+
0.26862954,
|
| 14 |
+
0.26130258,
|
| 15 |
+
0.27577711
|
| 16 |
+
],
|
| 17 |
+
"max_pixels": 12845056,
|
| 18 |
+
"merge_size": 2,
|
| 19 |
+
"min_pixels": 3136,
|
| 20 |
+
"patch_size": 14,
|
| 21 |
+
"processor_class": "Qwen2VLProcessor",
|
| 22 |
+
"resample": 3,
|
| 23 |
+
"rescale_factor": 0.00392156862745098,
|
| 24 |
+
"size": {
|
| 25 |
+
"longest_edge": 12845056,
|
| 26 |
+
"shortest_edge": 3136
|
| 27 |
+
},
|
| 28 |
+
"temporal_patch_size": 2
|
| 29 |
+
}
|
checkpoint-1000/rng_state_0.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:9281be04f2316562db36bd289b226e07237cabe0e64c821e5b8cfedcb5f17669
|
| 3 |
+
size 14512
|
checkpoint-1000/rng_state_1.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:658f78ca761388a441a3eaf439ede5c9b4dc1f731762e906f81abe29d7755ff1
|
| 3 |
+
size 14512
|
checkpoint-1000/scaler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9cb47022c4ef6f7ab1976ffb75cb22e35906b122b7a825388edd1a2193daa457
|
| 3 |
+
size 988
|
checkpoint-1000/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:537ce0ef560212676d0f3429491464ff9ae6f29d92c07b4446b30e769d7c02f4
|
| 3 |
+
size 1064
|
checkpoint-1000/special_tokens_map.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<|im_start|>",
|
| 4 |
+
"<|im_end|>",
|
| 5 |
+
"<|object_ref_start|>",
|
| 6 |
+
"<|object_ref_end|>",
|
| 7 |
+
"<|box_start|>",
|
| 8 |
+
"<|box_end|>",
|
| 9 |
+
"<|quad_start|>",
|
| 10 |
+
"<|quad_end|>",
|
| 11 |
+
"<|vision_start|>",
|
| 12 |
+
"<|vision_end|>",
|
| 13 |
+
"<|vision_pad|>",
|
| 14 |
+
"<|image_pad|>",
|
| 15 |
+
"<|video_pad|>"
|
| 16 |
+
],
|
| 17 |
+
"eos_token": {
|
| 18 |
+
"content": "<|im_end|>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
},
|
| 24 |
+
"pad_token": {
|
| 25 |
+
"content": "<|endoftext|>",
|
| 26 |
+
"lstrip": false,
|
| 27 |
+
"normalized": false,
|
| 28 |
+
"rstrip": false,
|
| 29 |
+
"single_word": false
|
| 30 |
+
}
|
| 31 |
+
}
|
checkpoint-1000/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:091aa7594dc2fcfbfa06b9e3c22a5f0562ac14f30375c13af7309407a0e67b8a
|
| 3 |
+
size 11420371
|
checkpoint-1000/tokenizer_config.json
ADDED
|
@@ -0,0 +1,148 @@
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"added_tokens_decoder": {
|
| 4 |
+
"151643": {
|
| 5 |
+
"content": "<|endoftext|>",
|
| 6 |
+
"lstrip": false,
|
| 7 |
+
"normalized": false,
|
| 8 |
+
"rstrip": false,
|
| 9 |
+
"single_word": false,
|
| 10 |
+
"special": true
|
| 11 |
+
},
|
| 12 |
+
"151644": {
|
| 13 |
+
"content": "<|im_start|>",
|
| 14 |
+
"lstrip": false,
|
| 15 |
+
"normalized": false,
|
| 16 |
+
"rstrip": false,
|
| 17 |
+
"single_word": false,
|
| 18 |
+
"special": true
|
| 19 |
+
},
|
| 20 |
+
"151645": {
|
| 21 |
+
"content": "<|im_end|>",
|
| 22 |
+
"lstrip": false,
|
| 23 |
+
"normalized": false,
|
| 24 |
+
"rstrip": false,
|
| 25 |
+
"single_word": false,
|
| 26 |
+
"special": true
|
| 27 |
+
},
|
| 28 |
+
"151646": {
|
| 29 |
+
"content": "<|object_ref_start|>",
|
| 30 |
+
"lstrip": false,
|
| 31 |
+
"normalized": false,
|
| 32 |
+
"rstrip": false,
|
| 33 |
+
"single_word": false,
|
| 34 |
+
"special": true
|
| 35 |
+
},
|
| 36 |
+
"151647": {
|
| 37 |
+
"content": "<|object_ref_end|>",
|
| 38 |
+
"lstrip": false,
|
| 39 |
+
"normalized": false,
|
| 40 |
+
"rstrip": false,
|
| 41 |
+
"single_word": false,
|
| 42 |
+
"special": true
|
| 43 |
+
},
|
| 44 |
+
"151648": {
|
| 45 |
+
"content": "<|box_start|>",
|
| 46 |
+
"lstrip": false,
|
| 47 |
+
"normalized": false,
|
| 48 |
+
"rstrip": false,
|
| 49 |
+
"single_word": false,
|
| 50 |
+
"special": true
|
| 51 |
+
},
|
| 52 |
+
"151649": {
|
| 53 |
+
"content": "<|box_end|>",
|
| 54 |
+
"lstrip": false,
|
| 55 |
+
"normalized": false,
|
| 56 |
+
"rstrip": false,
|
| 57 |
+
"single_word": false,
|
| 58 |
+
"special": true
|
| 59 |
+
},
|
| 60 |
+
"151650": {
|
| 61 |
+
"content": "<|quad_start|>",
|
| 62 |
+
"lstrip": false,
|
| 63 |
+
"normalized": false,
|
| 64 |
+
"rstrip": false,
|
| 65 |
+
"single_word": false,
|
| 66 |
+
"special": true
|
| 67 |
+
},
|
| 68 |
+
"151651": {
|
| 69 |
+
"content": "<|quad_end|>",
|
| 70 |
+
"lstrip": false,
|
| 71 |
+
"normalized": false,
|
| 72 |
+
"rstrip": false,
|
| 73 |
+
"single_word": false,
|
| 74 |
+
"special": true
|
| 75 |
+
},
|
| 76 |
+
"151652": {
|
| 77 |
+
"content": "<|vision_start|>",
|
| 78 |
+
"lstrip": false,
|
| 79 |
+
"normalized": false,
|
| 80 |
+
"rstrip": false,
|
| 81 |
+
"single_word": false,
|
| 82 |
+
"special": true
|
| 83 |
+
},
|
| 84 |
+
"151653": {
|
| 85 |
+
"content": "<|vision_end|>",
|
| 86 |
+
"lstrip": false,
|
| 87 |
+
"normalized": false,
|
| 88 |
+
"rstrip": false,
|
| 89 |
+
"single_word": false,
|
| 90 |
+
"special": true
|
| 91 |
+
},
|
| 92 |
+
"151654": {
|
| 93 |
+
"content": "<|vision_pad|>",
|
| 94 |
+
"lstrip": false,
|
| 95 |
+
"normalized": false,
|
| 96 |
+
"rstrip": false,
|
| 97 |
+
"single_word": false,
|
| 98 |
+
"special": true
|
| 99 |
+
},
|
| 100 |
+
"151655": {
|
| 101 |
+
"content": "<|image_pad|>",
|
| 102 |
+
"lstrip": false,
|
| 103 |
+
"normalized": false,
|
| 104 |
+
"rstrip": false,
|
| 105 |
+
"single_word": false,
|
| 106 |
+
"special": true
|
| 107 |
+
},
|
| 108 |
+
"151656": {
|
| 109 |
+
"content": "<|video_pad|>",
|
| 110 |
+
"lstrip": false,
|
| 111 |
+
"normalized": false,
|
| 112 |
+
"rstrip": false,
|
| 113 |
+
"single_word": false,
|
| 114 |
+
"special": true
|
| 115 |
+
}
|
| 116 |
+
},
|
| 117 |
+
"additional_special_tokens": [
|
| 118 |
+
"<|im_start|>",
|
| 119 |
+
"<|im_end|>",
|
| 120 |
+
"<|object_ref_start|>",
|
| 121 |
+
"<|object_ref_end|>",
|
| 122 |
+
"<|box_start|>",
|
| 123 |
+
"<|box_end|>",
|
| 124 |
+
"<|quad_start|>",
|
| 125 |
+
"<|quad_end|>",
|
| 126 |
+
"<|vision_start|>",
|
| 127 |
+
"<|vision_end|>",
|
| 128 |
+
"<|vision_pad|>",
|
| 129 |
+
"<|image_pad|>",
|
| 130 |
+
"<|video_pad|>"
|
| 131 |
+
],
|
| 132 |
+
"bos_token": null,
|
| 133 |
+
"chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n{% endif %}<|im_start|>{{ message['role'] }}\n{% if message['content'] is string %}{{ message['content'] }}<|im_end|>\n{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>\n{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant\n{% endif %}",
|
| 134 |
+
"clean_up_tokenization_spaces": false,
|
| 135 |
+
"eos_token": "<|im_end|>",
|
| 136 |
+
"errors": "replace",
|
| 137 |
+
"extra_special_tokens": {},
|
| 138 |
+
"max_length": null,
|
| 139 |
+
"model_max_length": 32768,
|
| 140 |
+
"pad_to_multiple_of": null,
|
| 141 |
+
"pad_token": "<|endoftext|>",
|
| 142 |
+
"pad_token_type_id": 0,
|
| 143 |
+
"padding_side": "right",
|
| 144 |
+
"processor_class": "Qwen2VLProcessor",
|
| 145 |
+
"split_special_tokens": false,
|
| 146 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 147 |
+
"unk_token": null
|
| 148 |
+
}
|
checkpoint-1000/trainer_state.json
ADDED
|
@@ -0,0 +1,733 @@
|
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| 689 |
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| 690 |
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{
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| 691 |
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|
| 692 |
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| 693 |
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"learning_rate": 7.2544521750790345e-06,
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| 694 |
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"loss": 0.0243,
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| 695 |
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"step": 980
|
| 696 |
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| 697 |
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{
|
| 698 |
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|
| 699 |
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"grad_norm": 1.8193122148513794,
|
| 700 |
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"learning_rate": 7.038617153795948e-06,
|
| 701 |
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"loss": 0.0226,
|
| 702 |
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"step": 990
|
| 703 |
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},
|
| 704 |
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{
|
| 705 |
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"epoch": 15.88,
|
| 706 |
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"grad_norm": 2.1489455699920654,
|
| 707 |
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"learning_rate": 6.82428398587631e-06,
|
| 708 |
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"loss": 0.0321,
|
| 709 |
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"step": 1000
|
| 710 |
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}
|
| 711 |
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],
|
| 712 |
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"logging_steps": 10,
|
| 713 |
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"max_steps": 1550,
|
| 714 |
+
"num_input_tokens_seen": 0,
|
| 715 |
+
"num_train_epochs": 25,
|
| 716 |
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"save_steps": 1000,
|
| 717 |
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"stateful_callbacks": {
|
| 718 |
+
"TrainerControl": {
|
| 719 |
+
"args": {
|
| 720 |
+
"should_epoch_stop": false,
|
| 721 |
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"should_evaluate": false,
|
| 722 |
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"should_log": false,
|
| 723 |
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"should_save": true,
|
| 724 |
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"should_training_stop": false
|
| 725 |
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},
|
| 726 |
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"attributes": {}
|
| 727 |
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}
|
| 728 |
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},
|
| 729 |
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"total_flos": 8.544789130431693e+16,
|
| 730 |
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"train_batch_size": 2,
|
| 731 |
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"trial_name": null,
|
| 732 |
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"trial_params": null
|
| 733 |
+
}
|
checkpoint-1000/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
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|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:dc45890bd2d24eb38ee6085d083cd1874d1991cf87176f31b08f0cafc9576e6c
|
| 3 |
+
size 5688
|
checkpoint-1000/vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-1550/README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
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|
|
|
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|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: saim1212/penguin2
|
| 3 |
+
library_name: peft
|
| 4 |
+
---
|
| 5 |
+
|
| 6 |
+
# Model Card for Model ID
|
| 7 |
+
|
| 8 |
+
<!-- Provide a quick summary of what the model is/does. -->
|
| 9 |
+
|
| 10 |
+
|
| 11 |
+
|
| 12 |
+
## Model Details
|
| 13 |
+
|
| 14 |
+
### Model Description
|
| 15 |
+
|
| 16 |
+
<!-- Provide a longer summary of what this model is. -->
|
| 17 |
+
|
| 18 |
+
|
| 19 |
+
|
| 20 |
+
- **Developed by:** [More Information Needed]
|
| 21 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 22 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 23 |
+
- **Model type:** [More Information Needed]
|
| 24 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 25 |
+
- **License:** [More Information Needed]
|
| 26 |
+
- **Finetuned from model [optional]:** [More Information Needed]
|
| 27 |
+
|
| 28 |
+
### Model Sources [optional]
|
| 29 |
+
|
| 30 |
+
<!-- Provide the basic links for the model. -->
|
| 31 |
+
|
| 32 |
+
- **Repository:** [More Information Needed]
|
| 33 |
+
- **Paper [optional]:** [More Information Needed]
|
| 34 |
+
- **Demo [optional]:** [More Information Needed]
|
| 35 |
+
|
| 36 |
+
## Uses
|
| 37 |
+
|
| 38 |
+
<!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
|
| 39 |
+
|
| 40 |
+
### Direct Use
|
| 41 |
+
|
| 42 |
+
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
| 43 |
+
|
| 44 |
+
[More Information Needed]
|
| 45 |
+
|
| 46 |
+
### Downstream Use [optional]
|
| 47 |
+
|
| 48 |
+
<!-- This section is for the model use when fine-tuned for a task, or when plugged into a larger ecosystem/app -->
|
| 49 |
+
|
| 50 |
+
[More Information Needed]
|
| 51 |
+
|
| 52 |
+
### Out-of-Scope Use
|
| 53 |
+
|
| 54 |
+
<!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
|
| 55 |
+
|
| 56 |
+
[More Information Needed]
|
| 57 |
+
|
| 58 |
+
## Bias, Risks, and Limitations
|
| 59 |
+
|
| 60 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 61 |
+
|
| 62 |
+
[More Information Needed]
|
| 63 |
+
|
| 64 |
+
### Recommendations
|
| 65 |
+
|
| 66 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 67 |
+
|
| 68 |
+
Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations.
|
| 69 |
+
|
| 70 |
+
## How to Get Started with the Model
|
| 71 |
+
|
| 72 |
+
Use the code below to get started with the model.
|
| 73 |
+
|
| 74 |
+
[More Information Needed]
|
| 75 |
+
|
| 76 |
+
## Training Details
|
| 77 |
+
|
| 78 |
+
### Training Data
|
| 79 |
+
|
| 80 |
+
<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
|
| 81 |
+
|
| 82 |
+
[More Information Needed]
|
| 83 |
+
|
| 84 |
+
### Training Procedure
|
| 85 |
+
|
| 86 |
+
<!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
|
| 87 |
+
|
| 88 |
+
#### Preprocessing [optional]
|
| 89 |
+
|
| 90 |
+
[More Information Needed]
|
| 91 |
+
|
| 92 |
+
|
| 93 |
+
#### Training Hyperparameters
|
| 94 |
+
|
| 95 |
+
- **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
|
| 96 |
+
|
| 97 |
+
#### Speeds, Sizes, Times [optional]
|
| 98 |
+
|
| 99 |
+
<!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
|
| 100 |
+
|
| 101 |
+
[More Information Needed]
|
| 102 |
+
|
| 103 |
+
## Evaluation
|
| 104 |
+
|
| 105 |
+
<!-- This section describes the evaluation protocols and provides the results. -->
|
| 106 |
+
|
| 107 |
+
### Testing Data, Factors & Metrics
|
| 108 |
+
|
| 109 |
+
#### Testing Data
|
| 110 |
+
|
| 111 |
+
<!-- This should link to a Dataset Card if possible. -->
|
| 112 |
+
|
| 113 |
+
[More Information Needed]
|
| 114 |
+
|
| 115 |
+
#### Factors
|
| 116 |
+
|
| 117 |
+
<!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
|
| 118 |
+
|
| 119 |
+
[More Information Needed]
|
| 120 |
+
|
| 121 |
+
#### Metrics
|
| 122 |
+
|
| 123 |
+
<!-- These are the evaluation metrics being used, ideally with a description of why. -->
|
| 124 |
+
|
| 125 |
+
[More Information Needed]
|
| 126 |
+
|
| 127 |
+
### Results
|
| 128 |
+
|
| 129 |
+
[More Information Needed]
|
| 130 |
+
|
| 131 |
+
#### Summary
|
| 132 |
+
|
| 133 |
+
|
| 134 |
+
|
| 135 |
+
## Model Examination [optional]
|
| 136 |
+
|
| 137 |
+
<!-- Relevant interpretability work for the model goes here -->
|
| 138 |
+
|
| 139 |
+
[More Information Needed]
|
| 140 |
+
|
| 141 |
+
## Environmental Impact
|
| 142 |
+
|
| 143 |
+
<!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
|
| 144 |
+
|
| 145 |
+
Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
|
| 146 |
+
|
| 147 |
+
- **Hardware Type:** [More Information Needed]
|
| 148 |
+
- **Hours used:** [More Information Needed]
|
| 149 |
+
- **Cloud Provider:** [More Information Needed]
|
| 150 |
+
- **Compute Region:** [More Information Needed]
|
| 151 |
+
- **Carbon Emitted:** [More Information Needed]
|
| 152 |
+
|
| 153 |
+
## Technical Specifications [optional]
|
| 154 |
+
|
| 155 |
+
### Model Architecture and Objective
|
| 156 |
+
|
| 157 |
+
[More Information Needed]
|
| 158 |
+
|
| 159 |
+
### Compute Infrastructure
|
| 160 |
+
|
| 161 |
+
[More Information Needed]
|
| 162 |
+
|
| 163 |
+
#### Hardware
|
| 164 |
+
|
| 165 |
+
[More Information Needed]
|
| 166 |
+
|
| 167 |
+
#### Software
|
| 168 |
+
|
| 169 |
+
[More Information Needed]
|
| 170 |
+
|
| 171 |
+
## Citation [optional]
|
| 172 |
+
|
| 173 |
+
<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
|
| 174 |
+
|
| 175 |
+
**BibTeX:**
|
| 176 |
+
|
| 177 |
+
[More Information Needed]
|
| 178 |
+
|
| 179 |
+
**APA:**
|
| 180 |
+
|
| 181 |
+
[More Information Needed]
|
| 182 |
+
|
| 183 |
+
## Glossary [optional]
|
| 184 |
+
|
| 185 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the model or model card. -->
|
| 186 |
+
|
| 187 |
+
[More Information Needed]
|
| 188 |
+
|
| 189 |
+
## More Information [optional]
|
| 190 |
+
|
| 191 |
+
[More Information Needed]
|
| 192 |
+
|
| 193 |
+
## Model Card Authors [optional]
|
| 194 |
+
|
| 195 |
+
[More Information Needed]
|
| 196 |
+
|
| 197 |
+
## Model Card Contact
|
| 198 |
+
|
| 199 |
+
[More Information Needed]
|
| 200 |
+
### Framework versions
|
| 201 |
+
|
| 202 |
+
- PEFT 0.12.0
|
checkpoint-1550/adapter_config.json
ADDED
|
@@ -0,0 +1,463 @@
|
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|
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|
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|
| 460 |
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"task_type": "CAUSAL_LM",
|
| 461 |
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"use_dora": false,
|
| 462 |
+
"use_rslora": false
|
| 463 |
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}
|
checkpoint-1550/adapter_model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:845f34c1f221b697726779b3fd71e1029e7d68df2e0d70cd0bb291bb74d0558a
|
| 3 |
+
size 133350944
|
checkpoint-1550/added_tokens.json
ADDED
|
@@ -0,0 +1,16 @@
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|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
| 12 |
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|
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|
| 14 |
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|
| 15 |
+
"<|vision_start|>": 151652
|
| 16 |
+
}
|
checkpoint-1550/chat_template.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n{% endif %}<|im_start|>{{ message['role'] }}\n{% if message['content'] is string %}{{ message['content'] }}<|im_end|>\n{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>\n{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant\n{% endif %}"
|
| 3 |
+
}
|
checkpoint-1550/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-1550/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:62e3c5c599d5aaa75e6dcff11ab64bf776776e62bf32286668cb1e63b02c27a6
|
| 3 |
+
size 267205066
|
checkpoint-1550/preprocessor_config.json
ADDED
|
@@ -0,0 +1,29 @@
|
|
|
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|
|
|
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|
|
|
|
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| 1 |
+
{
|
| 2 |
+
"do_convert_rgb": true,
|
| 3 |
+
"do_normalize": true,
|
| 4 |
+
"do_rescale": true,
|
| 5 |
+
"do_resize": true,
|
| 6 |
+
"image_mean": [
|
| 7 |
+
0.48145466,
|
| 8 |
+
0.4578275,
|
| 9 |
+
0.40821073
|
| 10 |
+
],
|
| 11 |
+
"image_processor_type": "Qwen2VLImageProcessor",
|
| 12 |
+
"image_std": [
|
| 13 |
+
0.26862954,
|
| 14 |
+
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|
| 15 |
+
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|
| 16 |
+
],
|
| 17 |
+
"max_pixels": 12845056,
|
| 18 |
+
"merge_size": 2,
|
| 19 |
+
"min_pixels": 3136,
|
| 20 |
+
"patch_size": 14,
|
| 21 |
+
"processor_class": "Qwen2VLProcessor",
|
| 22 |
+
"resample": 3,
|
| 23 |
+
"rescale_factor": 0.00392156862745098,
|
| 24 |
+
"size": {
|
| 25 |
+
"longest_edge": 12845056,
|
| 26 |
+
"shortest_edge": 3136
|
| 27 |
+
},
|
| 28 |
+
"temporal_patch_size": 2
|
| 29 |
+
}
|
checkpoint-1550/rng_state_0.pth
ADDED
|
@@ -0,0 +1,3 @@
|
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|
|
|
|
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|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:a456c014f4062602da085bb6b03f6bda6f86ab8b2dcf1a268dd903ed52f3fb91
|
| 3 |
+
size 14512
|
checkpoint-1550/rng_state_1.pth
ADDED
|
@@ -0,0 +1,3 @@
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|
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|
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:74ea19755c03db3ccc062fd1a38208daf2c7258b6dd1d567b2257f1306869548
|
| 3 |
+
size 14512
|
checkpoint-1550/scaler.pt
ADDED
|
@@ -0,0 +1,3 @@
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|
|
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|
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|
|
|
|
|
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|
| 1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:5c97d38d3bd4ed40c71b688ea05ca6d304a5bf700ddc5a8af6bedb520bae088a
|
| 3 |
+
size 988
|
checkpoint-1550/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2a770130995005184d2e5d60f8a10bfcce2b010542c31499a57165f764fe2b67
|
| 3 |
+
size 1064
|
checkpoint-1550/special_tokens_map.json
ADDED
|
@@ -0,0 +1,31 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"additional_special_tokens": [
|
| 3 |
+
"<|im_start|>",
|
| 4 |
+
"<|im_end|>",
|
| 5 |
+
"<|object_ref_start|>",
|
| 6 |
+
"<|object_ref_end|>",
|
| 7 |
+
"<|box_start|>",
|
| 8 |
+
"<|box_end|>",
|
| 9 |
+
"<|quad_start|>",
|
| 10 |
+
"<|quad_end|>",
|
| 11 |
+
"<|vision_start|>",
|
| 12 |
+
"<|vision_end|>",
|
| 13 |
+
"<|vision_pad|>",
|
| 14 |
+
"<|image_pad|>",
|
| 15 |
+
"<|video_pad|>"
|
| 16 |
+
],
|
| 17 |
+
"eos_token": {
|
| 18 |
+
"content": "<|im_end|>",
|
| 19 |
+
"lstrip": false,
|
| 20 |
+
"normalized": false,
|
| 21 |
+
"rstrip": false,
|
| 22 |
+
"single_word": false
|
| 23 |
+
},
|
| 24 |
+
"pad_token": {
|
| 25 |
+
"content": "<|endoftext|>",
|
| 26 |
+
"lstrip": false,
|
| 27 |
+
"normalized": false,
|
| 28 |
+
"rstrip": false,
|
| 29 |
+
"single_word": false
|
| 30 |
+
}
|
| 31 |
+
}
|
checkpoint-1550/tokenizer.json
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:091aa7594dc2fcfbfa06b9e3c22a5f0562ac14f30375c13af7309407a0e67b8a
|
| 3 |
+
size 11420371
|
checkpoint-1550/tokenizer_config.json
ADDED
|
@@ -0,0 +1,148 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"added_tokens_decoder": {
|
| 4 |
+
"151643": {
|
| 5 |
+
"content": "<|endoftext|>",
|
| 6 |
+
"lstrip": false,
|
| 7 |
+
"normalized": false,
|
| 8 |
+
"rstrip": false,
|
| 9 |
+
"single_word": false,
|
| 10 |
+
"special": true
|
| 11 |
+
},
|
| 12 |
+
"151644": {
|
| 13 |
+
"content": "<|im_start|>",
|
| 14 |
+
"lstrip": false,
|
| 15 |
+
"normalized": false,
|
| 16 |
+
"rstrip": false,
|
| 17 |
+
"single_word": false,
|
| 18 |
+
"special": true
|
| 19 |
+
},
|
| 20 |
+
"151645": {
|
| 21 |
+
"content": "<|im_end|>",
|
| 22 |
+
"lstrip": false,
|
| 23 |
+
"normalized": false,
|
| 24 |
+
"rstrip": false,
|
| 25 |
+
"single_word": false,
|
| 26 |
+
"special": true
|
| 27 |
+
},
|
| 28 |
+
"151646": {
|
| 29 |
+
"content": "<|object_ref_start|>",
|
| 30 |
+
"lstrip": false,
|
| 31 |
+
"normalized": false,
|
| 32 |
+
"rstrip": false,
|
| 33 |
+
"single_word": false,
|
| 34 |
+
"special": true
|
| 35 |
+
},
|
| 36 |
+
"151647": {
|
| 37 |
+
"content": "<|object_ref_end|>",
|
| 38 |
+
"lstrip": false,
|
| 39 |
+
"normalized": false,
|
| 40 |
+
"rstrip": false,
|
| 41 |
+
"single_word": false,
|
| 42 |
+
"special": true
|
| 43 |
+
},
|
| 44 |
+
"151648": {
|
| 45 |
+
"content": "<|box_start|>",
|
| 46 |
+
"lstrip": false,
|
| 47 |
+
"normalized": false,
|
| 48 |
+
"rstrip": false,
|
| 49 |
+
"single_word": false,
|
| 50 |
+
"special": true
|
| 51 |
+
},
|
| 52 |
+
"151649": {
|
| 53 |
+
"content": "<|box_end|>",
|
| 54 |
+
"lstrip": false,
|
| 55 |
+
"normalized": false,
|
| 56 |
+
"rstrip": false,
|
| 57 |
+
"single_word": false,
|
| 58 |
+
"special": true
|
| 59 |
+
},
|
| 60 |
+
"151650": {
|
| 61 |
+
"content": "<|quad_start|>",
|
| 62 |
+
"lstrip": false,
|
| 63 |
+
"normalized": false,
|
| 64 |
+
"rstrip": false,
|
| 65 |
+
"single_word": false,
|
| 66 |
+
"special": true
|
| 67 |
+
},
|
| 68 |
+
"151651": {
|
| 69 |
+
"content": "<|quad_end|>",
|
| 70 |
+
"lstrip": false,
|
| 71 |
+
"normalized": false,
|
| 72 |
+
"rstrip": false,
|
| 73 |
+
"single_word": false,
|
| 74 |
+
"special": true
|
| 75 |
+
},
|
| 76 |
+
"151652": {
|
| 77 |
+
"content": "<|vision_start|>",
|
| 78 |
+
"lstrip": false,
|
| 79 |
+
"normalized": false,
|
| 80 |
+
"rstrip": false,
|
| 81 |
+
"single_word": false,
|
| 82 |
+
"special": true
|
| 83 |
+
},
|
| 84 |
+
"151653": {
|
| 85 |
+
"content": "<|vision_end|>",
|
| 86 |
+
"lstrip": false,
|
| 87 |
+
"normalized": false,
|
| 88 |
+
"rstrip": false,
|
| 89 |
+
"single_word": false,
|
| 90 |
+
"special": true
|
| 91 |
+
},
|
| 92 |
+
"151654": {
|
| 93 |
+
"content": "<|vision_pad|>",
|
| 94 |
+
"lstrip": false,
|
| 95 |
+
"normalized": false,
|
| 96 |
+
"rstrip": false,
|
| 97 |
+
"single_word": false,
|
| 98 |
+
"special": true
|
| 99 |
+
},
|
| 100 |
+
"151655": {
|
| 101 |
+
"content": "<|image_pad|>",
|
| 102 |
+
"lstrip": false,
|
| 103 |
+
"normalized": false,
|
| 104 |
+
"rstrip": false,
|
| 105 |
+
"single_word": false,
|
| 106 |
+
"special": true
|
| 107 |
+
},
|
| 108 |
+
"151656": {
|
| 109 |
+
"content": "<|video_pad|>",
|
| 110 |
+
"lstrip": false,
|
| 111 |
+
"normalized": false,
|
| 112 |
+
"rstrip": false,
|
| 113 |
+
"single_word": false,
|
| 114 |
+
"special": true
|
| 115 |
+
}
|
| 116 |
+
},
|
| 117 |
+
"additional_special_tokens": [
|
| 118 |
+
"<|im_start|>",
|
| 119 |
+
"<|im_end|>",
|
| 120 |
+
"<|object_ref_start|>",
|
| 121 |
+
"<|object_ref_end|>",
|
| 122 |
+
"<|box_start|>",
|
| 123 |
+
"<|box_end|>",
|
| 124 |
+
"<|quad_start|>",
|
| 125 |
+
"<|quad_end|>",
|
| 126 |
+
"<|vision_start|>",
|
| 127 |
+
"<|vision_end|>",
|
| 128 |
+
"<|vision_pad|>",
|
| 129 |
+
"<|image_pad|>",
|
| 130 |
+
"<|video_pad|>"
|
| 131 |
+
],
|
| 132 |
+
"bos_token": null,
|
| 133 |
+
"chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n{% endif %}<|im_start|>{{ message['role'] }}\n{% if message['content'] is string %}{{ message['content'] }}<|im_end|>\n{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>\n{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant\n{% endif %}",
|
| 134 |
+
"clean_up_tokenization_spaces": false,
|
| 135 |
+
"eos_token": "<|im_end|>",
|
| 136 |
+
"errors": "replace",
|
| 137 |
+
"extra_special_tokens": {},
|
| 138 |
+
"max_length": null,
|
| 139 |
+
"model_max_length": 32768,
|
| 140 |
+
"pad_to_multiple_of": null,
|
| 141 |
+
"pad_token": "<|endoftext|>",
|
| 142 |
+
"pad_token_type_id": 0,
|
| 143 |
+
"padding_side": "right",
|
| 144 |
+
"processor_class": "Qwen2VLProcessor",
|
| 145 |
+
"split_special_tokens": false,
|
| 146 |
+
"tokenizer_class": "Qwen2Tokenizer",
|
| 147 |
+
"unk_token": null
|
| 148 |
+
}
|
checkpoint-1550/trainer_state.json
ADDED
|
@@ -0,0 +1,1118 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
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|
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|
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|
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checkpoint-1550/training_args.bin
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checkpoint-1550/vocab.json
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merges.txt
ADDED
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preprocessor_config.json
ADDED
|
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{
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special_tokens_map.json
ADDED
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|
| 30 |
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|
| 31 |
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tokenizer.json
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tokenizer_config.json
ADDED
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|
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|
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|
| 59 |
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|
| 60 |
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|
| 61 |
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| 62 |
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| 63 |
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|
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|
| 65 |
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|
| 66 |
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|
| 67 |
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|
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|
| 69 |
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|
| 70 |
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|
| 71 |
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|
| 72 |
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|
| 73 |
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|
| 74 |
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|
| 75 |
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|
| 78 |
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|
| 79 |
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| 80 |
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|
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|
| 83 |
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|
| 88 |
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|
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|
| 91 |
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|
| 92 |
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| 93 |
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|
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|
| 99 |
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| 101 |
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|
| 102 |
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| 111 |
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| 114 |
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|
| 115 |
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|
| 116 |
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|
| 117 |
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|
| 118 |
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|
| 119 |
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|
| 120 |
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|
| 121 |
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|
| 122 |
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|
| 123 |
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|
| 124 |
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|
| 125 |
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|
| 126 |
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|
| 127 |
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|
| 128 |
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|
| 129 |
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"<|image_pad|>",
|
| 130 |
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"<|video_pad|>"
|
| 131 |
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],
|
| 132 |
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"bos_token": null,
|
| 133 |
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"chat_template": "{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n{% endif %}<|im_start|>{{ message['role'] }}\n{% if message['content'] is string %}{{ message['content'] }}<|im_end|>\n{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>\n{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant\n{% endif %}",
|
| 134 |
+
"clean_up_tokenization_spaces": false,
|
| 135 |
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"eos_token": "<|im_end|>",
|
| 136 |
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"errors": "replace",
|
| 137 |
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|
| 138 |
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|
| 139 |
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|
| 140 |
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|
| 141 |
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|
| 142 |
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| 143 |
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|
| 144 |
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"processor_class": "Qwen2VLProcessor",
|
| 145 |
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|
| 146 |
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"tokenizer_class": "Qwen2Tokenizer",
|
| 147 |
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|
| 148 |
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}
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
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|
| 1 |
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{
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|
| 3 |
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| 4 |
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|
| 7 |
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|
| 8 |
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}
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