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--- |
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license: mit |
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base_model: openai-community/gpt2 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- rouge |
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model-index: |
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- name: dialogsum_gpt2 |
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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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# dialogsum_gpt2 |
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This model is a fine-tuned version of [openai-community/gpt2](https://huggingface.co/openai-community/gpt2) on an [Dialogue_Bot](https://huggingface.co/datasets/mohammadhabp/Dialogue_Bot) dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.3211 |
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- Rouge1: 0.4866 |
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- Rouge2: 0.1609 |
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- Rougel: 0.3868 |
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[[Repo code]](https://github.com/MohammadHAbbaspour/GPT2_Dialogue) |
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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: 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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:| |
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| 2.3713 | 1.0 | 875 | 2.3516 | 0.4821 | 0.1533 | 0.3775 | |
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| 2.2024 | 2.0 | 1750 | 2.3249 | 0.4820 | 0.1560 | 0.3806 | |
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| 1.988 | 3.0 | 2625 | 2.3211 | 0.4866 | 0.1609 | 0.3868 | |
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### Framework versions |
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- Transformers 4.42.4 |
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- Pytorch 2.3.1+cu121 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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