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Model: ali-elganzory/Qwen2.5-1.5B-DPO-Tulu3-decontaminated-masked Source: Original Platform
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69
README.md
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README.md
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---
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base_model: ali-elganzory/Qwen2.5-1.5B-SFT-Tulu3-decontaminated-masked
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library_name: transformers
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model_name: Qwen2.5-1.5B-DPO-Tulu3-decontaminated-masked
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tags:
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- generated_from_trainer
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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 Qwen2.5-1.5B-DPO-Tulu3-decontaminated-masked
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This model is a fine-tuned version of [ali-elganzory/Qwen2.5-1.5B-SFT-Tulu3-decontaminated-masked](https://huggingface.co/ali-elganzory/Qwen2.5-1.5B-SFT-Tulu3-decontaminated-masked).
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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="None", 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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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: 0.27.1
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- Transformers: 4.57.6
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- Pytorch: 2.6.0+cu126
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- Datasets: 4.8.4
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- Tokenizers: 0.22.2
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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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url = {http://papers.nips.cc/paper_files/paper/2023/hash/a85b405ed65c6477a4fe8302b5e06ce7-Abstract-Conference.html},
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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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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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year = 2020,
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journal = {GitHub repository},
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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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added_tokens.json
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added_tokens.json
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all_results.json
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all_results.json
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"train_samples_per_second": 56.625,
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}
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chat_template.jinja
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chat_template.jinja
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{%- for message in messages -%}
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{%- if message["role"] == "system" -%}
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{{- "<|system|>\n" + message["content"] + "\n" -}}
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{%- elif message["role"] == "user" -%}
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{{- "<|user|>\n" + message["content"] + "\n" -}}
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{%- elif message["role"] == "assistant" -%}
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{%- if not loop.last -%}
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{{- "<|assistant|>\n" + message["content"] + eos_token + "\n" -}}
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{%- else -%}
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{{- "<|assistant|>\n" + message["content"] + eos_token -}}
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{%- endif -%}
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{%- endif -%}
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{%- if loop.last and add_generation_prompt -%}
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{{- "<|assistant|>\n" -}}
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{%- endif -%}
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{%- endfor -%}
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config.json
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config.json
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"architectures": [
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"Qwen2ForCausalLM"
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}
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54
config.yaml
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config.yaml
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model_name_or_path: ali-elganzory/Qwen2.5-1.5B-SFT-Tulu3-decontaminated-masked
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dtype: bfloat16
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attn_implementation: flash_attention_2
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trust_remote_code: true
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chat_template: "{%- for message in messages -%}\n\t{%- if message[\"role\"] == \"\
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system\" -%}\n\t\t{{- \"<|system|>\\n\" + message[\"content\"] + \"\\n\" -}}\n\t\
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{%- elif message[\"role\"] == \"user\" -%}\n\t\t{{- \"<|user|>\\n\" + message[\"\
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content\"] + \"\\n\" -}}\n\t{%- elif message[\"role\"] == \"assistant\" -%}\n\t\t\
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\ message[\"content\"] + eos_token -}}\n\t\t{%- endif -%}\n\t{%- endif -%}\n\t{%-\
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\ if loop.last and add_generation_prompt -%}\n\t\t{{- \"<|assistant|>\\n\" -}}\n\
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\t{%- endif -%}\n{%- endfor -%}"
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additional_special_tokens:
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- <|user|>
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- <|assistant|>
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dataset_mixture:
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datasets:
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- id: ali-elganzory/llama-3.1-tulu-3-8b-preference-mixture-decontaminated
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config: default
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split: train
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columns:
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||||
- chosen
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- rejected
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dataset_num_proc: 32
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remove_unused_columns: true
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eval_strategy: 'no'
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output_dir: results/dpo/ali-elganzory-Qwen2.5-1.5B-SFT-Tulu3-decontaminated-masked_tulu-3-8b-preference-mixture-decontaminated_H100
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overwrite_output_dir: false
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save_strategy: steps
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save_steps: 200
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save_total_limit: 2
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push_to_hub: 'False'
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log_level: info
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report_to:
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- wandb
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logging_steps: 10
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logging_strategy: steps
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seed: 42
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bf16: true
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gradient_checkpointing: true
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gradient_checkpointing_kwargs:
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use_reentrant: false
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learning_rate: 5.0e-07
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lr_scheduler_type: linear
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max_length: 2048
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beta: 5
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warmup_ratio: 0.1
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per_device_train_batch_size: 8
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gradient_accumulation_steps: 1
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num_train_epochs: 1
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hub_model_id: ali-elganzory/Qwen2.5-1.5B-DPO-Tulu3-decontaminated-masked
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hub_strategy: every_save
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8
generation_config.json
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generation_config.json
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151388
merges.txt
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merges.txt
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special_tokens_map.json
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special_tokens_map.json
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"additional_special_tokens": [
|
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"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151653": {
|
||||
"content": "<|vision_end|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151654": {
|
||||
"content": "<|vision_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151655": {
|
||||
"content": "<|image_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151656": {
|
||||
"content": "<|video_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151657": {
|
||||
"content": "<tool_call>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151658": {
|
||||
"content": "</tool_call>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151659": {
|
||||
"content": "<|fim_prefix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151660": {
|
||||
"content": "<|fim_middle|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151661": {
|
||||
"content": "<|fim_suffix|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151662": {
|
||||
"content": "<|fim_pad|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151663": {
|
||||
"content": "<|repo_name|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151664": {
|
||||
"content": "<|file_sep|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": false
|
||||
},
|
||||
"151665": {
|
||||
"content": "<|system|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151666": {
|
||||
"content": "<|user|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
},
|
||||
"151667": {
|
||||
"content": "<|assistant|>",
|
||||
"lstrip": false,
|
||||
"normalized": false,
|
||||
"rstrip": false,
|
||||
"single_word": false,
|
||||
"special": true
|
||||
}
|
||||
},
|
||||
"additional_special_tokens": [
|
||||
"<|im_start|>",
|
||||
"<|im_end|>",
|
||||
"<|object_ref_start|>",
|
||||
"<|object_ref_end|>",
|
||||
"<|box_start|>",
|
||||
"<|box_end|>",
|
||||
"<|quad_start|>",
|
||||
"<|quad_end|>",
|
||||
"<|vision_start|>",
|
||||
"<|vision_end|>",
|
||||
"<|vision_pad|>",
|
||||
"<|image_pad|>",
|
||||
"<|video_pad|>",
|
||||
"<|system|>",
|
||||
"<|user|>",
|
||||
"<|assistant|>"
|
||||
],
|
||||
"bos_token": null,
|
||||
"clean_up_tokenization_spaces": false,
|
||||
"eos_token": "<|endoftext|>",
|
||||
"errors": "replace",
|
||||
"extra_special_tokens": {},
|
||||
"model_max_length": 131072,
|
||||
"pad_token": "<|endoftext|>",
|
||||
"split_special_tokens": false,
|
||||
"tokenizer_class": "Qwen2Tokenizer",
|
||||
"unk_token": null
|
||||
}
|
||||
9
train_results.json
Normal file
9
train_results.json
Normal file
@@ -0,0 +1,9 @@
|
||||
{
|
||||
"epoch": 1.0,
|
||||
"total_flos": 0.0,
|
||||
"train_loss": 2.9490895759331788,
|
||||
"train_runtime": 4813.8824,
|
||||
"train_samples": 272585,
|
||||
"train_samples_per_second": 56.625,
|
||||
"train_steps_per_second": 0.442
|
||||
}
|
||||
3238
trainer_state.json
Normal file
3238
trainer_state.json
Normal file
File diff suppressed because it is too large
Load Diff
3
training_args.bin
Normal file
3
training_args.bin
Normal file
@@ -0,0 +1,3 @@
|
||||
version https://git-lfs.github.com/spec/v1
|
||||
oid sha256:b742236684433466c22ec25419a35c89f49fef18a7e34f68bfdba795e42e74c3
|
||||
size 8760
|
||||
1
vocab.json
Normal file
1
vocab.json
Normal file
File diff suppressed because one or more lines are too long
Reference in New Issue
Block a user