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- .gitattributes +2 -0
- Modelfile +14 -0
- README.md +118 -0
- adapter_config.json +39 -0
- adapter_model.safetensors +3 -0
- added_tokens.json +28 -0
- all_results.json +12 -0
- chat_template.jinja +89 -0
- checkpoint-450/README.md +202 -0
- checkpoint-450/adapter_config.json +39 -0
- checkpoint-450/rng_state_13.pth +3 -0
- checkpoint-450/rng_state_14.pth +3 -0
- checkpoint-450/rng_state_16.pth +3 -0
- checkpoint-450/rng_state_20.pth +3 -0
- checkpoint-450/rng_state_24.pth +3 -0
- checkpoint-450/rng_state_25.pth +3 -0
- checkpoint-450/rng_state_29.pth +3 -0
- checkpoint-450/rng_state_31.pth +3 -0
- checkpoint-450/rng_state_5.pth +3 -0
- checkpoint-450/tokenizer.json +3 -0
- checkpoint-450/training_args.bin +3 -0
- config.json +30 -0
- dataset/dataset_dict.json +1 -0
- eval_results.json +7 -0
- generation_config.json +13 -0
- merges.txt +0 -0
- model-00001-of-00027.safetensors +3 -0
- model-00003-of-00027.safetensors +3 -0
- model-00004-of-00027.safetensors +3 -0
- model-00005-of-00027.safetensors +3 -0
- model-00006-of-00027.safetensors +3 -0
- model-00007-of-00027.safetensors +3 -0
- model-00010-of-00027.safetensors +3 -0
- model-00012-of-00027.safetensors +3 -0
- model-00017-of-00027.safetensors +3 -0
- model-00019-of-00027.safetensors +3 -0
- model-00023-of-00027.safetensors +3 -0
- model-00024-of-00027.safetensors +3 -0
- model-00025-of-00027.safetensors +3 -0
- model-00026-of-00027.safetensors +3 -0
- model.safetensors.index.json +714 -0
- special_tokens_map.json +31 -0
- tokenizer.json +3 -0
- tokenizer_config.json +240 -0
- train_results.json +8 -0
- trainer_log.jsonl +0 -0
- trainer_state.json +0 -0
- training_args.bin +3 -0
- training_eval_loss.png +0 -0
- training_loss.png +0 -0
.gitattributes
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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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*.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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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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checkpoint-450/tokenizer.json filter=lfs diff=lfs merge=lfs -text
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Modelfile
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# ollama modelfile auto-generated by llamafactory
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FROM .
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TEMPLATE """{{ if .System }}<|im_start|>system
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{{ .System }}<|im_end|>
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{{ end }}{{ range .Messages }}{{ if eq .Role "user" }}<|im_start|>user
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{{ .Content }}<|im_end|>
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<|im_start|>assistant
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{{ else if eq .Role "assistant" }}{{ .Content }}<|im_end|>
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{{ end }}{{ end }}"""
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PARAMETER stop "<|im_end|>"
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PARAMETER num_ctx 4096
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README.md
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---
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library_name: peft
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license: other
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base_model: Qwen/Qwen3-32B
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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: Qwen3-32B-alpaca-th-52k-dolly-th-15k-wangchan-instruct
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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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# Qwen3-32B-alpaca-th-52k-dolly-th-15k-wangchan-instruct
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This model is a fine-tuned version of [Qwen/Qwen3-32B](https://huggingface.co/Qwen/Qwen3-32B) on the alpaca-th-52k, the dolly-th-15k and the wangchan-instruct datasets.
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It achieves the following results on the evaluation set:
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- Loss: 0.6417
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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: 0.0002
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- train_batch_size: 2
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- eval_batch_size: 2
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- seed: 42
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- distributed_type: multi-GPU
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- num_devices: 32
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- gradient_accumulation_steps: 8
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- total_train_batch_size: 512
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- total_eval_batch_size: 64
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- optimizer: Use OptimizerNames.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: 3.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:------:|:----:|:---------------:|
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| 0.9564 | 0.0575 | 10 | 1.0507 |
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| 0.806 | 0.1149 | 20 | 0.8268 |
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| 0.7551 | 0.1724 | 30 | 0.7598 |
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| 0.7158 | 0.2299 | 40 | 0.7396 |
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| 0.7217 | 0.2874 | 50 | 0.7252 |
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| 0.7078 | 0.3448 | 60 | 0.7130 |
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| 0.6719 | 0.4023 | 70 | 0.7029 |
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| 0.6855 | 0.4598 | 80 | 0.6964 |
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| 0.7328 | 0.5172 | 90 | 0.6907 |
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| 0.6663 | 0.5747 | 100 | 0.6848 |
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| 0.7049 | 0.6322 | 110 | 0.6792 |
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| 0.6772 | 0.6897 | 120 | 0.6751 |
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| 0.687 | 0.7471 | 130 | 0.6721 |
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| 0.6786 | 0.8046 | 140 | 0.6700 |
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| 0.6389 | 0.8621 | 150 | 0.6672 |
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| 0.6673 | 0.9195 | 160 | 0.6649 |
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| 0.6711 | 0.9770 | 170 | 0.6633 |
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| 0.6614 | 1.0345 | 180 | 0.6615 |
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| 0.6219 | 1.0920 | 190 | 0.6602 |
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| 0.6542 | 1.1494 | 200 | 0.6587 |
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| 0.6596 | 1.2069 | 210 | 0.6572 |
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| 0.6526 | 1.2644 | 220 | 0.6567 |
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| 0.657 | 1.3218 | 230 | 0.6551 |
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| 0.6124 | 1.3793 | 240 | 0.6537 |
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| 0.6489 | 1.4368 | 250 | 0.6526 |
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| 0.614 | 1.4943 | 260 | 0.6515 |
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| 0.656 | 1.5517 | 270 | 0.6504 |
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| 0.6255 | 1.6092 | 280 | 0.6492 |
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| 0.6419 | 1.6667 | 290 | 0.6486 |
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| 0.6275 | 1.7241 | 300 | 0.6473 |
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| 0.6324 | 1.7816 | 310 | 0.6466 |
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| 0.6334 | 1.8391 | 320 | 0.6461 |
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| 0.6213 | 1.8966 | 330 | 0.6452 |
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| 0.6269 | 1.9540 | 340 | 0.6443 |
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| 0.6408 | 2.0115 | 350 | 0.6437 |
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| 0.6213 | 2.0690 | 360 | 0.6441 |
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| 0.6146 | 2.1264 | 370 | 0.6440 |
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| 0.6572 | 2.1839 | 380 | 0.6438 |
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| 0.6264 | 2.2414 | 390 | 0.6435 |
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| 0.6051 | 2.2989 | 400 | 0.6434 |
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| 98 |
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| 0.5983 | 2.3563 | 410 | 0.6429 |
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| 0.6388 | 2.4138 | 420 | 0.6425 |
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| 0.6227 | 2.4713 | 430 | 0.6425 |
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| 0.6335 | 2.5287 | 440 | 0.6421 |
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| 102 |
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| 0.6247 | 2.5862 | 450 | 0.6420 |
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| 103 |
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| 0.6404 | 2.6437 | 460 | 0.6418 |
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| 104 |
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| 0.6218 | 2.7011 | 470 | 0.6418 |
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| 105 |
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| 0.6368 | 2.7586 | 480 | 0.6417 |
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| 106 |
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| 0.6191 | 2.8161 | 490 | 0.6417 |
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| 107 |
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| 0.6234 | 2.8736 | 500 | 0.6417 |
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| 0.6079 | 2.9310 | 510 | 0.6417 |
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| 0.6243 | 2.9885 | 520 | 0.6417 |
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### Framework versions
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- PEFT 0.15.2
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- Transformers 4.52.3
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- Pytorch 2.7.0+cu126
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- Datasets 3.6.0
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- Tokenizers 0.21.1
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adapter_config.json
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{
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"alpha_pattern": {},
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"auto_mapping": null,
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"base_model_name_or_path": "/project/lt200252-wcbart/pumet/models/Qwen3-32B",
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"bias": "none",
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"corda_config": null,
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"eva_config": null,
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"exclude_modules": null,
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"fan_in_fan_out": false,
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"inference_mode": true,
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"init_lora_weights": true,
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"layer_replication": null,
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"layers_pattern": null,
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"layers_to_transform": null,
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"loftq_config": {},
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"lora_alpha": 16,
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"lora_bias": false,
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| 18 |
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"lora_dropout": 0.0,
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| 19 |
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"megatron_config": null,
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"megatron_core": "megatron.core",
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| 21 |
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"modules_to_save": null,
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| 22 |
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"peft_type": "LORA",
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"r": 8,
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"rank_pattern": {},
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"revision": null,
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"target_modules": [
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"up_proj",
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"k_proj",
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"q_proj",
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"v_proj",
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"down_proj",
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"o_proj",
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"gate_proj"
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],
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"task_type": "CAUSAL_LM",
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"trainable_token_indices": null,
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"use_dora": false,
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"use_rslora": false
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}
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:36aff61fc2100d5130844c1dd819da435e283eafd9166da8d0a5daf304780280
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size 268555264
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added_tokens.json
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{
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}
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all_results.json
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{
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"epoch": 3.0,
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| 3 |
+
"eval_loss": 0.6416515707969666,
|
| 4 |
+
"eval_runtime": 421.6432,
|
| 5 |
+
"eval_samples_per_second": 23.475,
|
| 6 |
+
"eval_steps_per_second": 0.368,
|
| 7 |
+
"total_flos": 5.109087237539103e+19,
|
| 8 |
+
"train_loss": 0.659610447298978,
|
| 9 |
+
"train_runtime": 48835.2339,
|
| 10 |
+
"train_samples_per_second": 5.472,
|
| 11 |
+
"train_steps_per_second": 0.011
|
| 12 |
+
}
|
chat_template.jinja
ADDED
|
@@ -0,0 +1,89 @@
|
|
|
|
|
|
|
|
|
|
|
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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 |
+
{%- if tools %}
|
| 2 |
+
{{- '<|im_start|>system\n' }}
|
| 3 |
+
{%- if messages[0].role == 'system' %}
|
| 4 |
+
{{- messages[0].content + '\n\n' }}
|
| 5 |
+
{%- endif %}
|
| 6 |
+
{{- "# Tools\n\nYou may call one or more functions to assist with the user query.\n\nYou are provided with function signatures within <tools></tools> XML tags:\n<tools>" }}
|
| 7 |
+
{%- for tool in tools %}
|
| 8 |
+
{{- "\n" }}
|
| 9 |
+
{{- tool | tojson }}
|
| 10 |
+
{%- endfor %}
|
| 11 |
+
{{- "\n</tools>\n\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\n<tool_call>\n{\"name\": <function-name>, \"arguments\": <args-json-object>}\n</tool_call><|im_end|>\n" }}
|
| 12 |
+
{%- else %}
|
| 13 |
+
{%- if messages[0].role == 'system' %}
|
| 14 |
+
{{- '<|im_start|>system\n' + messages[0].content + '<|im_end|>\n' }}
|
| 15 |
+
{%- endif %}
|
| 16 |
+
{%- endif %}
|
| 17 |
+
{%- set ns = namespace(multi_step_tool=true, last_query_index=messages|length - 1) %}
|
| 18 |
+
{%- for message in messages[::-1] %}
|
| 19 |
+
{%- set index = (messages|length - 1) - loop.index0 %}
|
| 20 |
+
{%- if ns.multi_step_tool and message.role == "user" and message.content is string and not(message.content.startswith('<tool_response>') and message.content.endswith('</tool_response>')) %}
|
| 21 |
+
{%- set ns.multi_step_tool = false %}
|
| 22 |
+
{%- set ns.last_query_index = index %}
|
| 23 |
+
{%- endif %}
|
| 24 |
+
{%- endfor %}
|
| 25 |
+
{%- for message in messages %}
|
| 26 |
+
{%- if message.content is string %}
|
| 27 |
+
{%- set content = message.content %}
|
| 28 |
+
{%- else %}
|
| 29 |
+
{%- set content = '' %}
|
| 30 |
+
{%- endif %}
|
| 31 |
+
{%- if (message.role == "user") or (message.role == "system" and not loop.first) %}
|
| 32 |
+
{{- '<|im_start|>' + message.role + '\n' + content + '<|im_end|>' + '\n' }}
|
| 33 |
+
{%- elif message.role == "assistant" %}
|
| 34 |
+
{%- set reasoning_content = '' %}
|
| 35 |
+
{%- if message.reasoning_content is string %}
|
| 36 |
+
{%- set reasoning_content = message.reasoning_content %}
|
| 37 |
+
{%- else %}
|
| 38 |
+
{%- if '</think>' in content %}
|
| 39 |
+
{%- set reasoning_content = content.split('</think>')[0].rstrip('\n').split('<think>')[-1].lstrip('\n') %}
|
| 40 |
+
{%- set content = content.split('</think>')[-1].lstrip('\n') %}
|
| 41 |
+
{%- endif %}
|
| 42 |
+
{%- endif %}
|
| 43 |
+
{%- if loop.index0 > ns.last_query_index %}
|
| 44 |
+
{%- if loop.last or (not loop.last and reasoning_content) %}
|
| 45 |
+
{{- '<|im_start|>' + message.role + '\n<think>\n' + reasoning_content.strip('\n') + '\n</think>\n\n' + content.lstrip('\n') }}
|
| 46 |
+
{%- else %}
|
| 47 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 48 |
+
{%- endif %}
|
| 49 |
+
{%- else %}
|
| 50 |
+
{{- '<|im_start|>' + message.role + '\n' + content }}
|
| 51 |
+
{%- endif %}
|
| 52 |
+
{%- if message.tool_calls %}
|
| 53 |
+
{%- for tool_call in message.tool_calls %}
|
| 54 |
+
{%- if (loop.first and content) or (not loop.first) %}
|
| 55 |
+
{{- '\n' }}
|
| 56 |
+
{%- endif %}
|
| 57 |
+
{%- if tool_call.function %}
|
| 58 |
+
{%- set tool_call = tool_call.function %}
|
| 59 |
+
{%- endif %}
|
| 60 |
+
{{- '<tool_call>\n{"name": "' }}
|
| 61 |
+
{{- tool_call.name }}
|
| 62 |
+
{{- '", "arguments": ' }}
|
| 63 |
+
{%- if tool_call.arguments is string %}
|
| 64 |
+
{{- tool_call.arguments }}
|
| 65 |
+
{%- else %}
|
| 66 |
+
{{- tool_call.arguments | tojson }}
|
| 67 |
+
{%- endif %}
|
| 68 |
+
{{- '}\n</tool_call>' }}
|
| 69 |
+
{%- endfor %}
|
| 70 |
+
{%- endif %}
|
| 71 |
+
{{- '<|im_end|>\n' }}
|
| 72 |
+
{%- elif message.role == "tool" %}
|
| 73 |
+
{%- if loop.first or (messages[loop.index0 - 1].role != "tool") %}
|
| 74 |
+
{{- '<|im_start|>user' }}
|
| 75 |
+
{%- endif %}
|
| 76 |
+
{{- '\n<tool_response>\n' }}
|
| 77 |
+
{{- content }}
|
| 78 |
+
{{- '\n</tool_response>' }}
|
| 79 |
+
{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
|
| 80 |
+
{{- '<|im_end|>\n' }}
|
| 81 |
+
{%- endif %}
|
| 82 |
+
{%- endif %}
|
| 83 |
+
{%- endfor %}
|
| 84 |
+
{%- if add_generation_prompt %}
|
| 85 |
+
{{- '<|im_start|>assistant\n' }}
|
| 86 |
+
{%- if enable_thinking is defined and enable_thinking is false %}
|
| 87 |
+
{{- '<think>\n\n</think>\n\n' }}
|
| 88 |
+
{%- endif %}
|
| 89 |
+
{%- endif %}
|
checkpoint-450/README.md
ADDED
|
@@ -0,0 +1,202 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
base_model: /project/lt200252-wcbart/pumet/models/Qwen3-32B
|
| 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 0.15.2
|
checkpoint-450/adapter_config.json
ADDED
|
@@ -0,0 +1,39 @@
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|
| 1 |
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|
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|
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|
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|
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|
| 6 |
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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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|
| 27 |
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|
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|
| 29 |
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"q_proj",
|
| 30 |
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"v_proj",
|
| 31 |
+
"down_proj",
|
| 32 |
+
"o_proj",
|
| 33 |
+
"gate_proj"
|
| 34 |
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|
| 35 |
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|
| 36 |
+
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|
| 37 |
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|
| 38 |
+
"use_rslora": false
|
| 39 |
+
}
|
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config.json
ADDED
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{
|
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|
| 3 |
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|
| 4 |
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|
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|
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|
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|
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|
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|
| 19 |
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|
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| 22 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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"use_cache": true,
|
| 28 |
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"use_sliding_window": false,
|
| 29 |
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"vocab_size": 151936
|
| 30 |
+
}
|
dataset/dataset_dict.json
ADDED
|
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|
|
| 1 |
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{"splits": ["train", "validation"]}
|
eval_results.json
ADDED
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|
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merges.txt
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special_tokens_map.json
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|
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{
|
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"additional_special_tokens": [
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|
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|
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|
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|
| 16 |
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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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|
| 29 |
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|
| 30 |
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|
| 31 |
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tokenizer.json
ADDED
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@@ -0,0 +1,3 @@
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tokenizer_config.json
ADDED
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| 1 |
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| 2 |
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train_results.json
ADDED
|
@@ -0,0 +1,8 @@
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|
|
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|
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|
|
|
|
|
|
|
|
|
|
|
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|
| 1 |
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trainer_log.jsonl
ADDED
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The diff for this file is too large to render.
See raw diff
|
|
|
trainer_state.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
training_args.bin
ADDED
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@@ -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 |
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| 3 |
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size 6161
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training_eval_loss.png
ADDED
|
training_loss.png
ADDED
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