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license: apache-2.0 |
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base_model: |
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- openai-community/gpt2-large |
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--- |
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# Model Card for Model ID |
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### Summary |
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<!-- Provide a quick summary of what the model is/does. --> |
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This is supervised fine-tuned model for text summarization based on GPT-2 (large). It has been finetuned on the filtered version of TL;DR train dataset, which can be found and downloaded from here: [https://github.com/openai/summarize-from-feedback](https://github.com/openai/summarize-from-feedback). |
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### Model Description |
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<!-- Provide a longer summary of what this model is. --> |
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- **Developed by:** Course Organizers |
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- **Finetuned from model:** openai-community/gpt2-large |
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### Training Details |
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This model has been trained using the TLR library and SFTTrainer class from Huggingface. |
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### Training Data |
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<!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. --> |
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The filtered version of TL;DR train dataset, which can be found and downloaded from here: [https://openaipublic.blob.core.windows.net/summarize-from-feedback/datasets/tldr_3_filtered/train.jsonl](https://openaipublic.blob.core.windows.net/summarize-from-feedback/datasets/tldr_3_filtered/train.jsonl). |
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#### Training Hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 2024 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- gradient_accumulation_steps: 1 |
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- total_train_batch_size: 64 |
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- total_eval_batch_size: 64 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- num_epochs: 1 |
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### Framework Versions |
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- accelerate==0.26.1 |
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- datasets==2.16.1 |
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- transformers==4.45.2 |
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- trl==0.11.2 |
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### Compute Infrastructure and Hardware |
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Slurm cluster with 8 x H100 Nvidia GPUs. |
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