Model save
Browse files- README.md +69 -0
- all_results.json +9 -0
- config.json +32 -0
- generation_config.json +7 -0
- merges.txt +0 -0
- model-00001-of-00006.safetensors +3 -0
- model-00002-of-00006.safetensors +3 -0
- model-00003-of-00006.safetensors +3 -0
- model-00004-of-00006.safetensors +3 -0
- model-00005-of-00006.safetensors +3 -0
- model-00006-of-00006.safetensors +3 -0
- model.safetensors.index.json +370 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer_config.json +795 -0
- train_results.json +9 -0
- trainer_state.json +492 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
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| 1 |
+
---
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| 2 |
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base_model: DebateLabKIT/Phi-4-Argunaut-1-SFT
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library_name: transformers
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model_name: Phi-4-Argunaut-1-SPIN-dev0
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tags:
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- generated_from_trainer
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| 7 |
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- trl
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- dpo
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licence: license
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---
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# Model Card for Phi-4-Argunaut-1-SPIN-dev0
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This model is a fine-tuned version of [DebateLabKIT/Phi-4-Argunaut-1-SFT](https://huggingface.co/DebateLabKIT/Phi-4-Argunaut-1-SFT).
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It has been trained using [TRL](https://github.com/huggingface/trl).
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## Quick start
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```python
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from transformers import pipeline
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question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
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generator = pipeline("text-generation", model="DebateLabKIT/Phi-4-Argunaut-1-SPIN-dev0", device="cuda")
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output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
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print(output["generated_text"])
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```
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## Training procedure
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/ggbetz/argunauts-training/runs/mq4gsxna)
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This model was trained with DPO, a method introduced in [Direct Preference Optimization: Your Language Model is Secretly a Reward Model](https://huggingface.co/papers/2305.18290).
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### Framework versions
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- TRL: 0.14.0
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- Transformers: 4.46.3
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- Pytorch: 2.4.1
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- Datasets: 3.1.0
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- Tokenizers: 0.20.3
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## Citations
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Cite DPO as:
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| 47 |
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```bibtex
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| 48 |
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@inproceedings{rafailov2023direct,
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| 49 |
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title = {{Direct Preference Optimization: Your Language Model is Secretly a Reward Model}},
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| 50 |
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author = {Rafael Rafailov and Archit Sharma and Eric Mitchell and Christopher D. Manning and Stefano Ermon and Chelsea Finn},
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| 51 |
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year = 2023,
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| 52 |
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booktitle = {Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16, 2023},
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| 53 |
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url = {http://papers.nips.cc/paper_files/paper/2023/hash/a85b405ed65c6477a4fe8302b5e06ce7-Abstract-Conference.html},
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| 54 |
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editor = {Alice Oh and Tristan Naumann and Amir Globerson and Kate Saenko and Moritz Hardt and Sergey Levine},
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| 55 |
+
}
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| 56 |
+
```
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| 57 |
+
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| 58 |
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Cite TRL as:
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| 59 |
+
|
| 60 |
+
```bibtex
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| 61 |
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@misc{vonwerra2022trl,
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| 62 |
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title = {{TRL: Transformer Reinforcement Learning}},
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| 63 |
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author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallouédec},
|
| 64 |
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year = 2020,
|
| 65 |
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journal = {GitHub repository},
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| 66 |
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publisher = {GitHub},
|
| 67 |
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howpublished = {\url{https://github.com/huggingface/trl}}
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| 68 |
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}
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| 69 |
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```
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all_results.json
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{
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| 2 |
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"epoch": 1.9870967741935484,
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| 3 |
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"total_flos": 0.0,
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| 4 |
+
"train_loss": 0.6479313838017451,
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| 5 |
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"train_runtime": 1783.9929,
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| 6 |
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"train_samples": 4957,
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| 7 |
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"train_samples_per_second": 5.557,
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| 8 |
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"train_steps_per_second": 0.086
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| 9 |
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}
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config.json
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{
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"_name_or_path": "DebateLabKIT/Phi-4-Argunaut-1-SFT",
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"architectures": [
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"LlamaForCausalLM"
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],
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"attention_bias": false,
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| 7 |
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"attention_dropout": 0.0,
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| 8 |
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"bos_token_id": 100257,
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| 9 |
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"eos_token_id": 100265,
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| 10 |
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"head_dim": 128,
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"hidden_act": "silu",
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| 12 |
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"hidden_size": 5120,
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| 13 |
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"initializer_range": 0.02,
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| 14 |
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"intermediate_size": 17920,
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| 15 |
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"max_position_embeddings": 16384,
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| 16 |
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"mlp_bias": false,
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| 17 |
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"model_type": "llama",
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| 18 |
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"num_attention_heads": 40,
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| 19 |
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"num_hidden_layers": 40,
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| 20 |
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"num_key_value_heads": 10,
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| 21 |
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"original_max_position_embeddings": 16384,
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| 22 |
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"pad_token_id": 100351,
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| 23 |
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"pretraining_tp": 1,
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| 24 |
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"rms_norm_eps": 1e-05,
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| 25 |
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"rope_scaling": null,
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| 26 |
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"rope_theta": 250000,
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"tie_word_embeddings": false,
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"torch_dtype": "bfloat16",
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| 29 |
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"transformers_version": "4.46.3",
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"use_cache": false,
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"vocab_size": 100352
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}
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generation_config.json
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{
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"_from_model_config": true,
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"bos_token_id": 100257,
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"eos_token_id": 100265,
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| 5 |
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"pad_token_id": 100351,
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"transformers_version": "4.46.3"
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}
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merges.txt
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The diff for this file is too large to render.
See raw diff
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model-00001-of-00006.safetensors
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model-00002-of-00006.safetensors
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version https://git-lfs.github.com/spec/v1
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model-00003-of-00006.safetensors
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model-00004-of-00006.safetensors
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model-00005-of-00006.safetensors
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version https://git-lfs.github.com/spec/v1
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model-00006-of-00006.safetensors
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version https://git-lfs.github.com/spec/v1
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size 4619116224
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model.safetensors.index.json
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|
| 351 |
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|
| 352 |
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"model.layers.8.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
| 353 |
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"model.layers.8.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
| 354 |
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"model.layers.8.post_attention_layernorm.weight": "model-00002-of-00006.safetensors",
|
| 355 |
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"model.layers.8.self_attn.k_proj.weight": "model-00002-of-00006.safetensors",
|
| 356 |
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"model.layers.8.self_attn.o_proj.weight": "model-00002-of-00006.safetensors",
|
| 357 |
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"model.layers.8.self_attn.q_proj.weight": "model-00002-of-00006.safetensors",
|
| 358 |
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"model.layers.8.self_attn.v_proj.weight": "model-00002-of-00006.safetensors",
|
| 359 |
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"model.layers.9.input_layernorm.weight": "model-00002-of-00006.safetensors",
|
| 360 |
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"model.layers.9.mlp.down_proj.weight": "model-00002-of-00006.safetensors",
|
| 361 |
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"model.layers.9.mlp.gate_proj.weight": "model-00002-of-00006.safetensors",
|
| 362 |
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"model.layers.9.mlp.up_proj.weight": "model-00002-of-00006.safetensors",
|
| 363 |
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|
| 364 |
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|
| 365 |
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|
| 366 |
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|
| 367 |
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|
| 368 |
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"model.norm.weight": "model-00006-of-00006.safetensors"
|
| 369 |
+
}
|
| 370 |
+
}
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1,30 @@
|
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|
| 1 |
+
{
|
| 2 |
+
"bos_token": {
|
| 3 |
+
"content": "<|endoftext|>",
|
| 4 |
+
"lstrip": true,
|
| 5 |
+
"normalized": false,
|
| 6 |
+
"rstrip": true,
|
| 7 |
+
"single_word": false
|
| 8 |
+
},
|
| 9 |
+
"eos_token": {
|
| 10 |
+
"content": "<|im_end|>",
|
| 11 |
+
"lstrip": true,
|
| 12 |
+
"normalized": false,
|
| 13 |
+
"rstrip": true,
|
| 14 |
+
"single_word": false
|
| 15 |
+
},
|
| 16 |
+
"pad_token": {
|
| 17 |
+
"content": "<|dummy_87|>",
|
| 18 |
+
"lstrip": true,
|
| 19 |
+
"normalized": false,
|
| 20 |
+
"rstrip": true,
|
| 21 |
+
"single_word": false
|
| 22 |
+
},
|
| 23 |
+
"unk_token": {
|
| 24 |
+
"content": "�",
|
| 25 |
+
"lstrip": false,
|
| 26 |
+
"normalized": false,
|
| 27 |
+
"rstrip": false,
|
| 28 |
+
"single_word": false
|
| 29 |
+
}
|
| 30 |
+
}
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,795 @@
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|
| 1 |
+
{
|
| 2 |
+
"add_prefix_space": false,
|
| 3 |
+
"added_tokens_decoder": {
|
| 4 |
+
"5809": {
|
| 5 |
+
"content": "�",
|
| 6 |
+
"lstrip": false,
|
| 7 |
+
"normalized": false,
|
| 8 |
+
"rstrip": false,
|
| 9 |
+
"single_word": false,
|
| 10 |
+
"special": true
|
| 11 |
+
},
|
| 12 |
+
"100256": {
|
| 13 |
+
"content": "<|dummy_0|>",
|
| 14 |
+
"lstrip": true,
|
| 15 |
+
"normalized": false,
|
| 16 |
+
"rstrip": true,
|
| 17 |
+
"single_word": false,
|
| 18 |
+
"special": true
|
| 19 |
+
},
|
| 20 |
+
"100257": {
|
| 21 |
+
"content": "<|endoftext|>",
|
| 22 |
+
"lstrip": true,
|
| 23 |
+
"normalized": false,
|
| 24 |
+
"rstrip": true,
|
| 25 |
+
"single_word": false,
|
| 26 |
+
"special": true
|
| 27 |
+
},
|
| 28 |
+
"100258": {
|
| 29 |
+
"content": "<|fim_prefix|>",
|
| 30 |
+
"lstrip": true,
|
| 31 |
+
"normalized": false,
|
| 32 |
+
"rstrip": true,
|
| 33 |
+
"single_word": false,
|
| 34 |
+
"special": true
|
| 35 |
+
},
|
| 36 |
+
"100259": {
|
| 37 |
+
"content": "<|fim_middle|>",
|
| 38 |
+
"lstrip": true,
|
| 39 |
+
"normalized": false,
|
| 40 |
+
"rstrip": true,
|
| 41 |
+
"single_word": false,
|
| 42 |
+
"special": true
|
| 43 |
+
},
|
| 44 |
+
"100260": {
|
| 45 |
+
"content": "<|fim_suffix|>",
|
| 46 |
+
"lstrip": true,
|
| 47 |
+
"normalized": false,
|
| 48 |
+
"rstrip": true,
|
| 49 |
+
"single_word": false,
|
| 50 |
+
"special": true
|
| 51 |
+
},
|
| 52 |
+
"100261": {
|
| 53 |
+
"content": "<|dummy_1|>",
|
| 54 |
+
"lstrip": true,
|
| 55 |
+
"normalized": false,
|
| 56 |
+
"rstrip": true,
|
| 57 |
+
"single_word": false,
|
| 58 |
+
"special": true
|
| 59 |
+
},
|
| 60 |
+
"100262": {
|
| 61 |
+
"content": "<|dummy_2|>",
|
| 62 |
+
"lstrip": true,
|
| 63 |
+
"normalized": false,
|
| 64 |
+
"rstrip": true,
|
| 65 |
+
"single_word": false,
|
| 66 |
+
"special": true
|
| 67 |
+
},
|
| 68 |
+
"100263": {
|
| 69 |
+
"content": "<|dummy_3|>",
|
| 70 |
+
"lstrip": true,
|
| 71 |
+
"normalized": false,
|
| 72 |
+
"rstrip": true,
|
| 73 |
+
"single_word": false,
|
| 74 |
+
"special": true
|
| 75 |
+
},
|
| 76 |
+
"100264": {
|
| 77 |
+
"content": "<|im_start|>",
|
| 78 |
+
"lstrip": true,
|
| 79 |
+
"normalized": false,
|
| 80 |
+
"rstrip": true,
|
| 81 |
+
"single_word": false,
|
| 82 |
+
"special": true
|
| 83 |
+
},
|
| 84 |
+
"100265": {
|
| 85 |
+
"content": "<|im_end|>",
|
| 86 |
+
"lstrip": true,
|
| 87 |
+
"normalized": false,
|
| 88 |
+
"rstrip": true,
|
| 89 |
+
"single_word": false,
|
| 90 |
+
"special": true
|
| 91 |
+
},
|
| 92 |
+
"100266": {
|
| 93 |
+
"content": "<|im_sep|>",
|
| 94 |
+
"lstrip": true,
|
| 95 |
+
"normalized": false,
|
| 96 |
+
"rstrip": true,
|
| 97 |
+
"single_word": false,
|
| 98 |
+
"special": true
|
| 99 |
+
},
|
| 100 |
+
"100267": {
|
| 101 |
+
"content": "<|dummy_4|>",
|
| 102 |
+
"lstrip": true,
|
| 103 |
+
"normalized": false,
|
| 104 |
+
"rstrip": true,
|
| 105 |
+
"single_word": false,
|
| 106 |
+
"special": true
|
| 107 |
+
},
|
| 108 |
+
"100268": {
|
| 109 |
+
"content": "<|dummy_5|>",
|
| 110 |
+
"lstrip": true,
|
| 111 |
+
"normalized": false,
|
| 112 |
+
"rstrip": true,
|
| 113 |
+
"single_word": false,
|
| 114 |
+
"special": true
|
| 115 |
+
},
|
| 116 |
+
"100269": {
|
| 117 |
+
"content": "<|dummy_6|>",
|
| 118 |
+
"lstrip": true,
|
| 119 |
+
"normalized": false,
|
| 120 |
+
"rstrip": true,
|
| 121 |
+
"single_word": false,
|
| 122 |
+
"special": true
|
| 123 |
+
},
|
| 124 |
+
"100270": {
|
| 125 |
+
"content": "<|dummy_7|>",
|
| 126 |
+
"lstrip": true,
|
| 127 |
+
"normalized": false,
|
| 128 |
+
"rstrip": true,
|
| 129 |
+
"single_word": false,
|
| 130 |
+
"special": true
|
| 131 |
+
},
|
| 132 |
+
"100271": {
|
| 133 |
+
"content": "<|dummy_8|>",
|
| 134 |
+
"lstrip": true,
|
| 135 |
+
"normalized": false,
|
| 136 |
+
"rstrip": true,
|
| 137 |
+
"single_word": false,
|
| 138 |
+
"special": true
|
| 139 |
+
},
|
| 140 |
+
"100272": {
|
| 141 |
+
"content": "<|dummy_9|>",
|
| 142 |
+
"lstrip": true,
|
| 143 |
+
"normalized": false,
|
| 144 |
+
"rstrip": true,
|
| 145 |
+
"single_word": false,
|
| 146 |
+
"special": true
|
| 147 |
+
},
|
| 148 |
+
"100273": {
|
| 149 |
+
"content": "<|dummy_10|>",
|
| 150 |
+
"lstrip": true,
|
| 151 |
+
"normalized": false,
|
| 152 |
+
"rstrip": true,
|
| 153 |
+
"single_word": false,
|
| 154 |
+
"special": true
|
| 155 |
+
},
|
| 156 |
+
"100274": {
|
| 157 |
+
"content": "<|dummy_11|>",
|
| 158 |
+
"lstrip": true,
|
| 159 |
+
"normalized": false,
|
| 160 |
+
"rstrip": true,
|
| 161 |
+
"single_word": false,
|
| 162 |
+
"special": true
|
| 163 |
+
},
|
| 164 |
+
"100275": {
|
| 165 |
+
"content": "<|dummy_12|>",
|
| 166 |
+
"lstrip": true,
|
| 167 |
+
"normalized": false,
|
| 168 |
+
"rstrip": true,
|
| 169 |
+
"single_word": false,
|
| 170 |
+
"special": true
|
| 171 |
+
},
|
| 172 |
+
"100276": {
|
| 173 |
+
"content": "<|endofprompt|>",
|
| 174 |
+
"lstrip": true,
|
| 175 |
+
"normalized": false,
|
| 176 |
+
"rstrip": true,
|
| 177 |
+
"single_word": false,
|
| 178 |
+
"special": true
|
| 179 |
+
},
|
| 180 |
+
"100277": {
|
| 181 |
+
"content": "<|dummy_13|>",
|
| 182 |
+
"lstrip": true,
|
| 183 |
+
"normalized": false,
|
| 184 |
+
"rstrip": true,
|
| 185 |
+
"single_word": false,
|
| 186 |
+
"special": true
|
| 187 |
+
},
|
| 188 |
+
"100278": {
|
| 189 |
+
"content": "<|dummy_14|>",
|
| 190 |
+
"lstrip": true,
|
| 191 |
+
"normalized": false,
|
| 192 |
+
"rstrip": true,
|
| 193 |
+
"single_word": false,
|
| 194 |
+
"special": true
|
| 195 |
+
},
|
| 196 |
+
"100279": {
|
| 197 |
+
"content": "<|dummy_15|>",
|
| 198 |
+
"lstrip": true,
|
| 199 |
+
"normalized": false,
|
| 200 |
+
"rstrip": true,
|
| 201 |
+
"single_word": false,
|
| 202 |
+
"special": true
|
| 203 |
+
},
|
| 204 |
+
"100280": {
|
| 205 |
+
"content": "<|dummy_16|>",
|
| 206 |
+
"lstrip": true,
|
| 207 |
+
"normalized": false,
|
| 208 |
+
"rstrip": true,
|
| 209 |
+
"single_word": false,
|
| 210 |
+
"special": true
|
| 211 |
+
},
|
| 212 |
+
"100281": {
|
| 213 |
+
"content": "<|dummy_17|>",
|
| 214 |
+
"lstrip": true,
|
| 215 |
+
"normalized": false,
|
| 216 |
+
"rstrip": true,
|
| 217 |
+
"single_word": false,
|
| 218 |
+
"special": true
|
| 219 |
+
},
|
| 220 |
+
"100282": {
|
| 221 |
+
"content": "<|dummy_18|>",
|
| 222 |
+
"lstrip": true,
|
| 223 |
+
"normalized": false,
|
| 224 |
+
"rstrip": true,
|
| 225 |
+
"single_word": false,
|
| 226 |
+
"special": true
|
| 227 |
+
},
|
| 228 |
+
"100283": {
|
| 229 |
+
"content": "<|dummy_19|>",
|
| 230 |
+
"lstrip": true,
|
| 231 |
+
"normalized": false,
|
| 232 |
+
"rstrip": true,
|
| 233 |
+
"single_word": false,
|
| 234 |
+
"special": true
|
| 235 |
+
},
|
| 236 |
+
"100284": {
|
| 237 |
+
"content": "<|dummy_20|>",
|
| 238 |
+
"lstrip": true,
|
| 239 |
+
"normalized": false,
|
| 240 |
+
"rstrip": true,
|
| 241 |
+
"single_word": false,
|
| 242 |
+
"special": true
|
| 243 |
+
},
|
| 244 |
+
"100285": {
|
| 245 |
+
"content": "<|dummy_21|>",
|
| 246 |
+
"lstrip": true,
|
| 247 |
+
"normalized": false,
|
| 248 |
+
"rstrip": true,
|
| 249 |
+
"single_word": false,
|
| 250 |
+
"special": true
|
| 251 |
+
},
|
| 252 |
+
"100286": {
|
| 253 |
+
"content": "<|dummy_22|>",
|
| 254 |
+
"lstrip": true,
|
| 255 |
+
"normalized": false,
|
| 256 |
+
"rstrip": true,
|
| 257 |
+
"single_word": false,
|
| 258 |
+
"special": true
|
| 259 |
+
},
|
| 260 |
+
"100287": {
|
| 261 |
+
"content": "<|dummy_23|>",
|
| 262 |
+
"lstrip": true,
|
| 263 |
+
"normalized": false,
|
| 264 |
+
"rstrip": true,
|
| 265 |
+
"single_word": false,
|
| 266 |
+
"special": true
|
| 267 |
+
},
|
| 268 |
+
"100288": {
|
| 269 |
+
"content": "<|dummy_24|>",
|
| 270 |
+
"lstrip": true,
|
| 271 |
+
"normalized": false,
|
| 272 |
+
"rstrip": true,
|
| 273 |
+
"single_word": false,
|
| 274 |
+
"special": true
|
| 275 |
+
},
|
| 276 |
+
"100289": {
|
| 277 |
+
"content": "<|dummy_25|>",
|
| 278 |
+
"lstrip": true,
|
| 279 |
+
"normalized": false,
|
| 280 |
+
"rstrip": true,
|
| 281 |
+
"single_word": false,
|
| 282 |
+
"special": true
|
| 283 |
+
},
|
| 284 |
+
"100290": {
|
| 285 |
+
"content": "<|dummy_26|>",
|
| 286 |
+
"lstrip": true,
|
| 287 |
+
"normalized": false,
|
| 288 |
+
"rstrip": true,
|
| 289 |
+
"single_word": false,
|
| 290 |
+
"special": true
|
| 291 |
+
},
|
| 292 |
+
"100291": {
|
| 293 |
+
"content": "<|dummy_27|>",
|
| 294 |
+
"lstrip": true,
|
| 295 |
+
"normalized": false,
|
| 296 |
+
"rstrip": true,
|
| 297 |
+
"single_word": false,
|
| 298 |
+
"special": true
|
| 299 |
+
},
|
| 300 |
+
"100292": {
|
| 301 |
+
"content": "<|dummy_28|>",
|
| 302 |
+
"lstrip": true,
|
| 303 |
+
"normalized": false,
|
| 304 |
+
"rstrip": true,
|
| 305 |
+
"single_word": false,
|
| 306 |
+
"special": true
|
| 307 |
+
},
|
| 308 |
+
"100293": {
|
| 309 |
+
"content": "<|dummy_29|>",
|
| 310 |
+
"lstrip": true,
|
| 311 |
+
"normalized": false,
|
| 312 |
+
"rstrip": true,
|
| 313 |
+
"single_word": false,
|
| 314 |
+
"special": true
|
| 315 |
+
},
|
| 316 |
+
"100294": {
|
| 317 |
+
"content": "<|dummy_30|>",
|
| 318 |
+
"lstrip": true,
|
| 319 |
+
"normalized": false,
|
| 320 |
+
"rstrip": true,
|
| 321 |
+
"single_word": false,
|
| 322 |
+
"special": true
|
| 323 |
+
},
|
| 324 |
+
"100295": {
|
| 325 |
+
"content": "<|dummy_31|>",
|
| 326 |
+
"lstrip": true,
|
| 327 |
+
"normalized": false,
|
| 328 |
+
"rstrip": true,
|
| 329 |
+
"single_word": false,
|
| 330 |
+
"special": true
|
| 331 |
+
},
|
| 332 |
+
"100296": {
|
| 333 |
+
"content": "<|dummy_32|>",
|
| 334 |
+
"lstrip": true,
|
| 335 |
+
"normalized": false,
|
| 336 |
+
"rstrip": true,
|
| 337 |
+
"single_word": false,
|
| 338 |
+
"special": true
|
| 339 |
+
},
|
| 340 |
+
"100297": {
|
| 341 |
+
"content": "<|dummy_33|>",
|
| 342 |
+
"lstrip": true,
|
| 343 |
+
"normalized": false,
|
| 344 |
+
"rstrip": true,
|
| 345 |
+
"single_word": false,
|
| 346 |
+
"special": true
|
| 347 |
+
},
|
| 348 |
+
"100298": {
|
| 349 |
+
"content": "<|dummy_34|>",
|
| 350 |
+
"lstrip": true,
|
| 351 |
+
"normalized": false,
|
| 352 |
+
"rstrip": true,
|
| 353 |
+
"single_word": false,
|
| 354 |
+
"special": true
|
| 355 |
+
},
|
| 356 |
+
"100299": {
|
| 357 |
+
"content": "<|dummy_35|>",
|
| 358 |
+
"lstrip": true,
|
| 359 |
+
"normalized": false,
|
| 360 |
+
"rstrip": true,
|
| 361 |
+
"single_word": false,
|
| 362 |
+
"special": true
|
| 363 |
+
},
|
| 364 |
+
"100300": {
|
| 365 |
+
"content": "<|dummy_36|>",
|
| 366 |
+
"lstrip": true,
|
| 367 |
+
"normalized": false,
|
| 368 |
+
"rstrip": true,
|
| 369 |
+
"single_word": false,
|
| 370 |
+
"special": true
|
| 371 |
+
},
|
| 372 |
+
"100301": {
|
| 373 |
+
"content": "<|dummy_37|>",
|
| 374 |
+
"lstrip": true,
|
| 375 |
+
"normalized": false,
|
| 376 |
+
"rstrip": true,
|
| 377 |
+
"single_word": false,
|
| 378 |
+
"special": true
|
| 379 |
+
},
|
| 380 |
+
"100302": {
|
| 381 |
+
"content": "<|dummy_38|>",
|
| 382 |
+
"lstrip": true,
|
| 383 |
+
"normalized": false,
|
| 384 |
+
"rstrip": true,
|
| 385 |
+
"single_word": false,
|
| 386 |
+
"special": true
|
| 387 |
+
},
|
| 388 |
+
"100303": {
|
| 389 |
+
"content": "<|dummy_39|>",
|
| 390 |
+
"lstrip": true,
|
| 391 |
+
"normalized": false,
|
| 392 |
+
"rstrip": true,
|
| 393 |
+
"single_word": false,
|
| 394 |
+
"special": true
|
| 395 |
+
},
|
| 396 |
+
"100304": {
|
| 397 |
+
"content": "<|dummy_40|>",
|
| 398 |
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| 399 |
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| 400 |
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| 403 |
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| 404 |
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| 405 |
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| 406 |
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| 407 |
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| 408 |
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| 411 |
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| 412 |
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| 413 |
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| 414 |
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| 416 |
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| 418 |
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| 419 |
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| 422 |
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| 423 |
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| 424 |
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| 426 |
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| 427 |
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| 428 |
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| 429 |
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| 435 |
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| 437 |
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| 443 |
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| 445 |
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| 447 |
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| 448 |
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| 451 |
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| 453 |
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| 779 |
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| 780 |
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|
| 781 |
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"bos_token": "<|endoftext|>",
|
| 782 |
+
"chat_template": "{%- if tools %}\n {{- '<|im_start|>system<|im_sep|>' }}\n {%- if messages[0]['role'] == 'system' %}\n {{- messages[0]['content'] }}\n {%- else %}\n {{- 'You are Argunaut, created by DebateLab@KIT. You are a helpful assistant.' }}\n {%- endif %}\n {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n {%- for tool in tools %}\n {{- \"\\n\" }}\n {{- tool | tojson }}\n {%- endfor %}\n {{- \"\\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{%- else %}\n {%- if messages[0]['role'] == 'system' %}\n {{- '<|im_start|>system<|im_sep|>' + messages[0]['content'] + '<|im_end|>' }}\n {%- else %}\n {{- '<|im_start|>system<|im_sep|>{system_message}<|im_end|>' }}\n {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n {{- '<|im_start|>' + message.role + '<|im_sep|>' + message.content + '<|im_end|>' }}\n {%- elif message.role == \"assistant\" %}\n {{- '<|im_start|>' + message.role + '<|im_sep|>'}}\n {%- if message.content %}\n {{- message.content }}\n {%- endif %}\n {%- for tool_call in message.tool_calls %}\n {%- if tool_call.function is defined %}\n {%- set tool_call = tool_call.function %}\n {%- endif %}\n {{- '\\n<tool_call>\\n{\"name\": \"' }}\n {{- tool_call.name }}\n {{- '\", \"arguments\": ' }}\n {{- tool_call.arguments | tojson }}\n {{- '}\\n</tool_call>' }}\n {%- endfor %}\n {{- '<|im_end|>' }}\n {%- elif message.role == \"tool\" %}\n {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %} {{- '<|im_start|>user<|im_sep|>' }}\n {%- endif %}\n {{- '\\n<tool_response>\\n' }}\n {{- message.content }}\n {{- '\\n</tool_response>' }}\n {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n {{- '<|im_end|>' }}\n {%- endif %}\n {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n {{- '<|im_start|>assistant<|im_sep|>' }}\n{%- endif %}\n",
|
| 783 |
+
"clean_up_tokenization_spaces": false,
|
| 784 |
+
"eos_token": "<|im_end|>",
|
| 785 |
+
"extra_special_tokens": {},
|
| 786 |
+
"max_length": 8192,
|
| 787 |
+
"model_max_length": 16384,
|
| 788 |
+
"pad_token": "<|dummy_87|>",
|
| 789 |
+
"padding_side": "left",
|
| 790 |
+
"stride": 0,
|
| 791 |
+
"tokenizer_class": "GPT2Tokenizer",
|
| 792 |
+
"truncation_side": "right",
|
| 793 |
+
"truncation_strategy": "longest_first",
|
| 794 |
+
"unk_token": "�"
|
| 795 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,9 @@
|
|
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|
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|
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|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 1.9870967741935484,
|
| 3 |
+
"total_flos": 0.0,
|
| 4 |
+
"train_loss": 0.6479313838017451,
|
| 5 |
+
"train_runtime": 1783.9929,
|
| 6 |
+
"train_samples": 4957,
|
| 7 |
+
"train_samples_per_second": 5.557,
|
| 8 |
+
"train_steps_per_second": 0.086
|
| 9 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,492 @@
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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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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 1.9870967741935484,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 154,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.06451612903225806,
|
| 13 |
+
"grad_norm": 27.289285780817472,
|
| 14 |
+
"learning_rate": 1.25e-07,
|
| 15 |
+
"logits/chosen": NaN,
|
| 16 |
+
"logits/rejected": -1.731054663658142,
|
| 17 |
+
"logps/chosen": -201.2937469482422,
|
| 18 |
+
"logps/rejected": -252.0500030517578,
|
| 19 |
+
"loss": 0.6905,
|
| 20 |
+
"rewards/accuracies": 0.203125,
|
| 21 |
+
"rewards/chosen": 0.004031372256577015,
|
| 22 |
+
"rewards/margins": 0.005436515901237726,
|
| 23 |
+
"rewards/rejected": -0.00140466692391783,
|
| 24 |
+
"step": 5
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"epoch": 0.12903225806451613,
|
| 28 |
+
"grad_norm": 251.04300037826727,
|
| 29 |
+
"learning_rate": 1.9726027397260271e-07,
|
| 30 |
+
"logits/chosen": NaN,
|
| 31 |
+
"logits/rejected": NaN,
|
| 32 |
+
"logps/chosen": -223.9875030517578,
|
| 33 |
+
"logps/rejected": -326.3687438964844,
|
| 34 |
+
"loss": 0.7008,
|
| 35 |
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"rewards/accuracies": 0.2874999940395355,
|
| 36 |
+
"rewards/chosen": -0.001165628433227539,
|
| 37 |
+
"rewards/margins": -0.00862197857350111,
|
| 38 |
+
"rewards/rejected": 0.007415962405502796,
|
| 39 |
+
"step": 10
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"epoch": 0.1935483870967742,
|
| 43 |
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"grad_norm": 104.00994364166638,
|
| 44 |
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"learning_rate": 1.9041095890410958e-07,
|
| 45 |
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"logits/chosen": NaN,
|
| 46 |
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"logits/rejected": NaN,
|
| 47 |
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"logps/chosen": -217.40625,
|
| 48 |
+
"logps/rejected": -252.0593719482422,
|
| 49 |
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"loss": 0.6939,
|
| 50 |
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"rewards/accuracies": 0.3531250059604645,
|
| 51 |
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"rewards/chosen": 0.022618770599365234,
|
| 52 |
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"rewards/margins": 0.00520400982350111,
|
| 53 |
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"rewards/rejected": 0.0174699779599905,
|
| 54 |
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"step": 15
|
| 55 |
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},
|
| 56 |
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{
|
| 57 |
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"epoch": 0.25806451612903225,
|
| 58 |
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"grad_norm": 131.0274487253917,
|
| 59 |
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"learning_rate": 1.8356164383561644e-07,
|
| 60 |
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"logits/chosen": NaN,
|
| 61 |
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"logits/rejected": NaN,
|
| 62 |
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"logps/chosen": -200.5749969482422,
|
| 63 |
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"logps/rejected": -295.1937561035156,
|
| 64 |
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"loss": 0.6871,
|
| 65 |
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"rewards/accuracies": 0.4375,
|
| 66 |
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"rewards/chosen": 0.04545478895306587,
|
| 67 |
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"rewards/margins": 0.025292014703154564,
|
| 68 |
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"rewards/rejected": 0.020198345184326172,
|
| 69 |
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"step": 20
|
| 70 |
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|
| 71 |
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{
|
| 72 |
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"epoch": 0.3225806451612903,
|
| 73 |
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"grad_norm": 36.61386061695541,
|
| 74 |
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"learning_rate": 1.7671232876712328e-07,
|
| 75 |
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|
| 76 |
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"logits/rejected": NaN,
|
| 77 |
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"logps/chosen": -227.3249969482422,
|
| 78 |
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"logps/rejected": -285.34375,
|
| 79 |
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"loss": 0.6877,
|
| 80 |
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"rewards/accuracies": 0.390625,
|
| 81 |
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| 82 |
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"rewards/margins": 0.011513328179717064,
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| 83 |
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"rewards/rejected": 0.005533790681511164,
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| 84 |
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|
| 85 |
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|
| 86 |
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| 87 |
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|
| 88 |
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| 89 |
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"learning_rate": 1.698630136986301e-07,
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| 90 |
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|
| 91 |
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training_args.bin
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@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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size 7672
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vocab.json
ADDED
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