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--- |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: pygmalion-350m |
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results: [] |
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--- |
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# pygmalion-350m |
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This model is a fine-tuned version of [PygmalionAI/pygmalion-350m](https://huggingface.co/PygmalionAI/pygmalion-350m/) on a 2.4MB dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.2731 |
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- Accuracy: 0.5187 |
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## Model description |
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A proof-of-concept model based on PygmalionAI/pygmalion-350m, which was in turn based on OPT-350m. |
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This model was fine-tuned purely for testing purposes. |
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## Fine-tuning process |
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Fine-tuned on an A100-80GB with HF's `run_clm.py` script. It was run through 3 epochs with 8 batch size using 2.4MB dataset (split 75/25 between training and validation sets). |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 3.0 |
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### Framework versions |
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- Transformers 4.27.0.dev0 |
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- Pytorch 1.13.1+cu117 |
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- Datasets 2.10.0 |
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- Tokenizers 0.13.2 |
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