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Model: ali-elganzory/SmolLM2-1.7B-16k-DPO-Tulu3-decontaminated 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/SmolLM2-1.7B-16k-SFT-Tulu3-decontaminated
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library_name: transformers
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model_name: ali-elganzory-SmolLM2-1.7B-16k-SFT-Tulu3-decontaminated_tulu-3-8b-preference-mixture-decontaminated_GH200
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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 ali-elganzory-SmolLM2-1.7B-16k-SFT-Tulu3-decontaminated_tulu-3-8b-preference-mixture-decontaminated_GH200
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This model is a fine-tuned version of [ali-elganzory/SmolLM2-1.7B-16k-SFT-Tulu3-decontaminated](https://huggingface.co/ali-elganzory/SmolLM2-1.7B-16k-SFT-Tulu3-decontaminated).
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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: 4.5.0
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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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chat_template.jinja
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chat_template.jinja
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{%- for message in messages -%}
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{{- "<|system|>
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{%- elif message["role"] == "user" -%}
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config.json
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config.json
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generation_config.json
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merges.txt
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"tokenizer_class": "GPT2Tokenizer",
|
||||
"unk_token": "<|endoftext|>",
|
||||
"vocab_size": 49152
|
||||
}
|
||||
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": 3.126477795811326,
|
||||
"train_runtime": 14505.8392,
|
||||
"train_samples": 272585,
|
||||
"train_samples_per_second": 18.791,
|
||||
"train_steps_per_second": 0.147
|
||||
}
|
||||
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 sha256:4d5d300bf7a04c31bd7301215fd05a53d96b0810f835e319ba8a6bd3d1dcde8c
|
||||
size 8696
|
||||
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