zhangduo4610
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Model save
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README.md
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---
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base_model: facebook/opt-350m
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library_name: transformers
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model_name: opt350
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tags:
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- generated_from_trainer
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- trl
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- sft
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licence: license
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---
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# Model Card for opt350
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This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m).
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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="zhangduo4610/opt350", 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 SFT.
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### Framework versions
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- TRL: 0.12.0
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- Transformers: 4.46.1
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- Pytorch: 2.1.2
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- Datasets: 3.1.0
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- Tokenizers: 0.20.2
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## Citations
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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 Gallouédec},
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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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all_results.json
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{
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"epoch": 0.9999380306128772,
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"total_flos": 4248659495485440.0,
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"train_loss": 0.39469828721492317,
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"train_runtime": 1041.1882,
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"train_samples": 207864,
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"train_samples_per_second": 123.988,
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"train_steps_per_second": 7.749
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}
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runs/Nov05_10-09-54_gnode007.cluster/events.out.tfevents.1730830202.gnode007.cluster.1850762.0
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:2fa34ce511a64ee26f60461f5cf08b5c5a975a41ee7c11aa4c1b3679148e162e
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size 42833
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train_results.json
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{
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"epoch": 0.9999380306128772,
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"total_flos": 4248659495485440.0,
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"train_loss": 0.39469828721492317,
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"train_runtime": 1041.1882,
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"train_samples": 207864,
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"train_samples_per_second": 123.988,
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"train_steps_per_second": 7.749
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}
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trainer_state.json
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