Model save
Browse files- README.md +69 -0
- all_results.json +9 -0
- chat_template.jinja +53 -0
- config.json +31 -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 +371 -0
- special_tokens_map.json +30 -0
- tokenizer.json +0 -0
- tokenizer_config.json +790 -0
- train_results.json +9 -0
- trainer_state.json +943 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
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---
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base_model: DebateLabKIT/Phi-4-Argunaut-1-SFT-dev1
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library_name: transformers
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model_name: Phi-4-Argunaut-1-SPIN-dev1
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tags:
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- generated_from_trainer
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- dpo
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- trl
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licence: license
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---
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# Model Card for Phi-4-Argunaut-1-SPIN-dev1
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This model is a fine-tuned version of [DebateLabKIT/Phi-4-Argunaut-1-SFT-dev1](https://huggingface.co/DebateLabKIT/Phi-4-Argunaut-1-SFT-dev1).
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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-dev1", 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/g7wyrguq)
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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: 0.19.1
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- Transformers: 4.53.3
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- Pytorch: 2.4.1
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- Datasets: 3.1.0
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- Tokenizers: 0.21.4
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## Citations
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Cite DPO as:
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```bibtex
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@inproceedings{rafailov2023direct,
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title = {{Direct Preference Optimization: Your Language Model is Secretly a Reward Model}},
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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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year = 2023,
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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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}
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```
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Cite TRL as:
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```bibtex
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@misc{vonwerra2022trl,
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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 Gallou{\'e}dec},
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| 64 |
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year = 2020,
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| 65 |
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journal = {GitHub repository},
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| 66 |
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publisher = {GitHub},
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howpublished = {\url{https://github.com/huggingface/trl}}
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}
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```
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all_results.json
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{
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"epoch": 2.0,
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"total_flos": 0.0,
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"train_loss": 0.34146574610158015,
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| 5 |
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"train_runtime": 4832.1445,
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| 6 |
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"train_samples": 4838,
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| 7 |
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"train_samples_per_second": 2.002,
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"train_steps_per_second": 0.063
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}
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chat_template.jinja
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{%- if tools %}
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{{- '<|im_start|>system<|im_sep|>' }}
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{%- if messages[0]['role'] == 'system' %}
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{{- messages[0]['content'] }}
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{%- else %}
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{{- 'You are Argunaut, created by DebateLab@KIT. You are a helpful assistant.' }}
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{%- endif %}
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{{- "\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>" }}
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{%- for tool in tools %}
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{{- "\n" }}
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{{- tool | tojson }}
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{%- endfor %}
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{{- "\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|>" }}
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{%- else %}
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{%- if messages[0]['role'] == 'system' %}
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{{- '<|im_start|>system<|im_sep|>' + messages[0]['content'] + '<|im_end|>' }}
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{%- else %}
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{{- '<|im_start|>system<|im_sep|>{system_message}<|im_end|>' }}
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{%- endif %}
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{%- endif %}
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{%- for message in messages %}
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{%- if (message.role == "user") or (message.role == "system" and not loop.first) or (message.role == "assistant" and not message.tool_calls) %}
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{{- '<|im_start|>' + message.role + '<|im_sep|>' + message.content + '<|im_end|>' }}
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{%- elif message.role == "assistant" %}
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{{- '<|im_start|>' + message.role + '<|im_sep|>'}}
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{%- if message.content %}
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{{- message.content }}
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{%- endif %}
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{%- for tool_call in message.tool_calls %}
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| 30 |
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{%- if tool_call.function is defined %}
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| 31 |
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{%- set tool_call = tool_call.function %}
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| 32 |
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{%- endif %}
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{{- '\n<tool_call>\n{"name": "' }}
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{{- tool_call.name }}
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| 35 |
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{{- '", "arguments": ' }}
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| 36 |
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{{- tool_call.arguments | tojson }}
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{{- '}\n</tool_call>' }}
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| 38 |
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{%- endfor %}
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| 39 |
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{{- '<|im_end|>' }}
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| 40 |
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{%- elif message.role == "tool" %}
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| 41 |
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{%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != "tool") %} {{- '<|im_start|>user<|im_sep|>' }}
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| 42 |
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{%- endif %}
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| 43 |
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{{- '\n<tool_response>\n' }}
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{{- message.content }}
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{{- '\n</tool_response>' }}
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| 46 |
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{%- if loop.last or (messages[loop.index0 + 1].role != "tool") %}
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| 47 |
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{{- '<|im_end|>' }}
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| 48 |
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{%- endif %}
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| 49 |
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{%- endif %}
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| 50 |
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{%- endfor %}
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| 51 |
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{%- if add_generation_prompt %}
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| 52 |
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{{- '<|im_start|>assistant<|im_sep|>' }}
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| 53 |
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{%- endif %}
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config.json
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{
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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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| 6 |
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"attention_dropout": 0.15,
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| 7 |
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"bos_token_id": 100257,
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| 8 |
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"eos_token_id": 100265,
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| 9 |
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"head_dim": 128,
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| 10 |
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"hidden_act": "silu",
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| 11 |
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"hidden_size": 5120,
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| 12 |
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"initializer_range": 0.02,
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| 13 |
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"intermediate_size": 17920,
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| 14 |
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"max_position_embeddings": 16384,
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| 15 |
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"mlp_bias": false,
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| 16 |
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"model_type": "llama",
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| 17 |
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"num_attention_heads": 40,
|
| 18 |
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"num_hidden_layers": 40,
|
| 19 |
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"num_key_value_heads": 10,
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| 20 |
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"original_max_position_embeddings": 16384,
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| 21 |
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"pad_token_id": 100351,
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| 22 |
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"pretraining_tp": 1,
|
| 23 |
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"rms_norm_eps": 1e-05,
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| 24 |
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"rope_scaling": null,
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| 25 |
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"rope_theta": 250000,
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| 26 |
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"tie_word_embeddings": false,
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| 27 |
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"torch_dtype": "bfloat16",
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| 28 |
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"transformers_version": "4.53.3",
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| 29 |
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"use_cache": false,
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| 30 |
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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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| 3 |
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"bos_token_id": 100257,
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| 4 |
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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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| 6 |
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"transformers_version": "4.53.3"
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}
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merges.txt
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model-00001-of-00006.safetensors
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size 4933658528
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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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model-00006-of-00006.safetensors
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model.safetensors.index.json
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special_tokens_map.json
ADDED
|
@@ -0,0 +1,30 @@
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|
| 1 |
+
{
|
| 2 |
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"bos_token": {
|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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|
| 15 |
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|
| 16 |
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"pad_token": {
|
| 17 |
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"content": "<|dummy_87|>",
|
| 18 |
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"lstrip": true,
|
| 19 |
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"normalized": false,
|
| 20 |
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"rstrip": true,
|
| 21 |
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"single_word": false
|
| 22 |
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|
| 23 |
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"unk_token": {
|
| 24 |
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|
| 25 |
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|
| 26 |
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|
| 27 |
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|
| 28 |
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"single_word": false
|
| 29 |
+
}
|
| 30 |
+
}
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
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|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,790 @@
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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 |
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|
| 298 |
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|
| 299 |
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},
|
| 300 |
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|
| 301 |
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|
| 302 |
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|
| 303 |
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|
| 304 |
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|
| 305 |
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|
| 306 |
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|
| 307 |
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},
|
| 308 |
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|
| 309 |
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|
| 310 |
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|
| 311 |
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|
| 312 |
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|
| 313 |
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|
| 314 |
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|
| 315 |
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|
| 316 |
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|
| 317 |
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|
| 318 |
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|
| 319 |
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|
| 320 |
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|
| 321 |
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|
| 322 |
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|
| 323 |
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|
| 324 |
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|
| 325 |
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|
| 326 |
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|
| 327 |
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|
| 328 |
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|
| 329 |
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|
| 330 |
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|
| 331 |
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},
|
| 332 |
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|
| 333 |
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|
| 334 |
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|
| 335 |
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|
| 336 |
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|
| 337 |
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|
| 338 |
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|
| 339 |
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|
| 340 |
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|
| 341 |
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|
| 342 |
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|
| 343 |
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|
| 344 |
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|
| 345 |
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|
| 346 |
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|
| 347 |
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|
| 348 |
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|
| 349 |
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|
| 350 |
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|
| 351 |
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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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|
| 365 |
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|
| 366 |
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|
| 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 |
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|
| 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 |
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|
| 386 |
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|
| 387 |
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},
|
| 388 |
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|
| 389 |
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|
| 390 |
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|
| 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 |
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|
| 397 |
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|
| 398 |
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|
| 399 |
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|
| 400 |
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|
| 401 |
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|
| 402 |
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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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|
| 409 |
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|
| 410 |
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|
| 411 |
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},
|
| 412 |
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|
| 413 |
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|
| 414 |
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|
| 415 |
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|
| 416 |
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|
| 417 |
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|
| 418 |
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|
| 419 |
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},
|
| 420 |
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|
| 421 |
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|
| 422 |
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|
| 423 |
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|
| 424 |
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|
| 425 |
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|
| 426 |
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|
| 427 |
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},
|
| 428 |
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|
| 429 |
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|
| 430 |
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|
| 431 |
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|
| 432 |
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|
| 433 |
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|
| 434 |
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|
| 435 |
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},
|
| 436 |
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|
| 437 |
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|
| 438 |
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|
| 439 |
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|
| 440 |
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|
| 441 |
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|
| 442 |
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|
| 443 |
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},
|
| 444 |
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|
| 445 |
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|
| 446 |
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|
| 447 |
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|
| 448 |
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|
| 449 |
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|
| 450 |
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|
| 451 |
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},
|
| 452 |
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|
| 453 |
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|
| 454 |
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|
| 455 |
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|
| 456 |
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|
| 457 |
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|
| 458 |
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|
| 459 |
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},
|
| 460 |
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|
| 461 |
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|
| 462 |
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|
| 463 |
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|
| 464 |
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|
| 465 |
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|
| 466 |
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|
| 467 |
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|
| 468 |
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|
| 469 |
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|
| 470 |
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|
| 471 |
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|
| 472 |
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|
| 473 |
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|
| 474 |
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|
| 475 |
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},
|
| 476 |
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|
| 477 |
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|
| 478 |
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|
| 479 |
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|
| 480 |
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|
| 481 |
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|
| 482 |
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|
| 483 |
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|
| 484 |
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|
| 485 |
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|
| 486 |
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|
| 487 |
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|
| 488 |
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|
| 489 |
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|
| 490 |
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|
| 491 |
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|
| 492 |
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|
| 493 |
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|
| 494 |
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|
| 495 |
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|
| 496 |
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|
| 497 |
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|
| 498 |
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|
| 499 |
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|
| 500 |
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|
| 501 |
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|
| 502 |
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|
| 503 |
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|
| 504 |
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|
| 505 |
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|
| 506 |
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|
| 507 |
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|
| 508 |
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|
| 509 |
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|
| 510 |
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|
| 511 |
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|
| 512 |
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|
| 513 |
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|
| 514 |
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|
| 515 |
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|
| 516 |
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|
| 517 |
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|
| 518 |
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|
| 519 |
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|
| 520 |
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|
| 521 |
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|
| 522 |
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|
| 523 |
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|
| 524 |
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|
| 525 |
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|
| 526 |
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|
| 527 |
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|
| 528 |
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|
| 529 |
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|
| 530 |
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|
| 531 |
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|
| 532 |
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|
| 533 |
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|
| 534 |
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|
| 535 |
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|
| 536 |
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|
| 537 |
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|
| 538 |
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|
| 539 |
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|
| 540 |
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|
| 541 |
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|
| 542 |
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|
| 543 |
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|
| 544 |
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|
| 545 |
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|
| 546 |
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|
| 547 |
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|
| 548 |
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|
| 549 |
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|
| 550 |
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|
| 551 |
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|
| 552 |
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|
| 553 |
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|
| 554 |
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|
| 555 |
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|
| 556 |
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|
| 557 |
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|
| 558 |
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|
| 559 |
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|
| 560 |
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|
| 561 |
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|
| 562 |
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|
| 563 |
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|
| 564 |
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|
| 565 |
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|
| 566 |
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|
| 567 |
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|
| 568 |
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|
| 569 |
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|
| 570 |
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|
| 571 |
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|
| 572 |
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|
| 573 |
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|
| 574 |
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|
| 575 |
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|
| 576 |
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|
| 577 |
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|
| 578 |
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|
| 579 |
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|
| 580 |
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|
| 581 |
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|
| 582 |
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|
| 583 |
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|
| 584 |
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|
| 585 |
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|
| 586 |
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|
| 587 |
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|
| 588 |
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|
| 589 |
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|
| 590 |
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|
| 591 |
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|
| 592 |
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|
| 593 |
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|
| 594 |
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|
| 595 |
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|
| 596 |
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|
| 597 |
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|
| 598 |
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|
| 599 |
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|
| 600 |
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|
| 601 |
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|
| 602 |
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|
| 603 |
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|
| 604 |
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|
| 605 |
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|
| 606 |
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|
| 607 |
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|
| 608 |
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|
| 609 |
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|
| 610 |
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|
| 611 |
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|
| 612 |
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|
| 613 |
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|
| 614 |
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|
| 615 |
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|
| 616 |
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|
| 617 |
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|
| 618 |
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|
| 619 |
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|
| 620 |
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|
| 621 |
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|
| 622 |
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|
| 623 |
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|
| 624 |
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|
| 625 |
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|
| 626 |
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|
| 627 |
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|
| 628 |
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|
| 629 |
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|
| 630 |
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|
| 631 |
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|
| 632 |
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|
| 633 |
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|
| 634 |
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|
| 635 |
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|
| 636 |
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|
| 637 |
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|
| 638 |
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|
| 639 |
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|
| 640 |
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|
| 641 |
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|
| 642 |
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|
| 643 |
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|
| 644 |
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|
| 645 |
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|
| 646 |
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|
| 647 |
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|
| 648 |
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|
| 649 |
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|
| 650 |
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|
| 651 |
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|
| 652 |
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|
| 653 |
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|
| 654 |
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|
| 655 |
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|
| 656 |
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|
| 657 |
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|
| 658 |
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|
| 659 |
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|
| 660 |
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|
| 661 |
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|
| 662 |
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|
| 663 |
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|
| 664 |
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|
| 665 |
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|
| 666 |
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|
| 667 |
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|
| 668 |
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|
| 669 |
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|
| 670 |
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|
| 671 |
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|
| 672 |
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|
| 673 |
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|
| 674 |
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|
| 675 |
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|
| 676 |
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|
| 677 |
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|
| 678 |
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|
| 679 |
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|
| 680 |
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|
| 681 |
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|
| 682 |
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|
| 683 |
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|
| 684 |
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|
| 685 |
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|
| 686 |
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|
| 687 |
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|
| 688 |
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|
| 689 |
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|
| 690 |
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|
| 691 |
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|
| 692 |
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|
| 693 |
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|
| 694 |
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|
| 695 |
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|
| 696 |
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|
| 697 |
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|
| 698 |
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|
| 699 |
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|
| 700 |
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|
| 701 |
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|
| 702 |
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|
| 703 |
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|
| 704 |
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|
| 705 |
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|
| 706 |
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|
| 707 |
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|
| 708 |
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|
| 709 |
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|
| 710 |
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|
| 711 |
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|
| 712 |
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|
| 713 |
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|
| 714 |
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|
| 715 |
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|
| 716 |
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|
| 717 |
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|
| 718 |
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|
| 719 |
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|
| 720 |
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|
| 721 |
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|
| 722 |
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|
| 723 |
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|
| 724 |
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|
| 725 |
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|
| 726 |
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|
| 727 |
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|
| 728 |
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|
| 729 |
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|
| 730 |
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|
| 731 |
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},
|
| 732 |
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"100346": {
|
| 733 |
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"content": "<|dummy_82|>",
|
| 734 |
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"lstrip": true,
|
| 735 |
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"normalized": false,
|
| 736 |
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"rstrip": true,
|
| 737 |
+
"single_word": false,
|
| 738 |
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"special": true
|
| 739 |
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},
|
| 740 |
+
"100347": {
|
| 741 |
+
"content": "<|dummy_83|>",
|
| 742 |
+
"lstrip": true,
|
| 743 |
+
"normalized": false,
|
| 744 |
+
"rstrip": true,
|
| 745 |
+
"single_word": false,
|
| 746 |
+
"special": true
|
| 747 |
+
},
|
| 748 |
+
"100348": {
|
| 749 |
+
"content": "<|dummy_84|>",
|
| 750 |
+
"lstrip": true,
|
| 751 |
+
"normalized": false,
|
| 752 |
+
"rstrip": true,
|
| 753 |
+
"single_word": false,
|
| 754 |
+
"special": true
|
| 755 |
+
},
|
| 756 |
+
"100349": {
|
| 757 |
+
"content": "<|dummy_85|>",
|
| 758 |
+
"lstrip": true,
|
| 759 |
+
"normalized": false,
|
| 760 |
+
"rstrip": true,
|
| 761 |
+
"single_word": false,
|
| 762 |
+
"special": true
|
| 763 |
+
},
|
| 764 |
+
"100350": {
|
| 765 |
+
"content": "<|dummy_86|>",
|
| 766 |
+
"lstrip": true,
|
| 767 |
+
"normalized": false,
|
| 768 |
+
"rstrip": true,
|
| 769 |
+
"single_word": false,
|
| 770 |
+
"special": true
|
| 771 |
+
},
|
| 772 |
+
"100351": {
|
| 773 |
+
"content": "<|dummy_87|>",
|
| 774 |
+
"lstrip": true,
|
| 775 |
+
"normalized": false,
|
| 776 |
+
"rstrip": true,
|
| 777 |
+
"single_word": false,
|
| 778 |
+
"special": true
|
| 779 |
+
}
|
| 780 |
+
},
|
| 781 |
+
"bos_token": "<|endoftext|>",
|
| 782 |
+
"clean_up_tokenization_spaces": false,
|
| 783 |
+
"eos_token": "<|im_end|>",
|
| 784 |
+
"extra_special_tokens": {},
|
| 785 |
+
"model_max_length": 16384,
|
| 786 |
+
"pad_token": "<|dummy_87|>",
|
| 787 |
+
"padding_side": "left",
|
| 788 |
+
"tokenizer_class": "GPT2Tokenizer",
|
| 789 |
+
"unk_token": "�"
|
| 790 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,9 @@
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.0,
|
| 3 |
+
"total_flos": 0.0,
|
| 4 |
+
"train_loss": 0.34146574610158015,
|
| 5 |
+
"train_runtime": 4832.1445,
|
| 6 |
+
"train_samples": 4838,
|
| 7 |
+
"train_samples_per_second": 2.002,
|
| 8 |
+
"train_steps_per_second": 0.063
|
| 9 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,943 @@
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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 7800
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vocab.json
ADDED
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