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--- |
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license: mit |
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tags: |
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- generated_from_trainer |
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datasets: Isotonic/human_assistant_conversation |
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metrics: |
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- accuracy |
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model-index: |
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- name: Human_assistant_conversation |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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🌟 Buying me coffee is a direct way to show support for this project. |
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<a href="https://www.buymeacoffee.com/isotonic"><img src="https://www.buymeacoffee.com/assets/img/guidelines/download-assets-sm-1.svg" alt=""></a> |
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# test_clm |
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This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on [Isotonic/human_assistant_conversation](https://huggingface.co/datasets/Isotonic/human_assistant_conversation) dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.9530 |
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- Perplexity: 7.049969668510691 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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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: 2 |
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- eval_batch_size: 2 |
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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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### Training results |
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### Framework versions |
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- Transformers 4.25.1 |
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- Pytorch 1.13.1+cu116 |
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- Datasets 2.7.1 |
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- Tokenizers 0.13.2 |
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