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---
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library_name: transformers
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language: en
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license: mit
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datasets: []
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tags: []
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---
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# Model Card for <Model>
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A pretrained GPT2 using <Dataset>.
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## Model Details
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### Model Description
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A pretrained GPT2 using <Dataset>.
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- **Developed by:** [Cesar Gonzalez-Gutierrez](https://ceguel.es)
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- **Funded by:** [ERC](https://erc.europa.eu)
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- **Model type:** pretrained GPT2
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- **Language(s) (NLP):** English
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- **License:** MIT
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- **Pretrained from model:** [GPT2](https://huggingface.co/openai-community/gpt2)
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### Model Checkpoints
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[More Information Needed]
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### Model Sources
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- **Paper:** [More Information Needed]
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## Intended Uses & Limitations
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See <https://huggingface.co/openai-community/gpt2#intended-uses--limitations>.
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### Loading Checkpoints
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[More Information Needed]
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## Training Details
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### Training Data
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[More Information Needed]
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#### Preprocessing [optional]
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[More Information Needed]
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#### Training Hyperparameters
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- **Training regime:** fp16
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- **Batch size:** 8
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- **Gradient accumulation steps:** 12
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## Environmental Impact
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- **Hardware Type:** NVIDIA A100 PCIE 40GB
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- **Hours used:** [More Information Needed]
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- **Cluster Provider:** [Artemisa](https://artemisa.ific.uv.es/web/)
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- **Compute Region:** EU
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- **Carbon Emitted:** [More Information Needed] <!-- Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700). -->
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## Citation
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**BibTeX:**
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[More Information Needed]
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