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--- |
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license: apache-2.0 |
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base_model: google-t5/t5-base |
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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: summarization |
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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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# summarization |
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This model is a fine-tuned version of [google-t5/t5-base](https://huggingface.co/google-t5/t5-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2491 |
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- Rouge1: 0.3279 |
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- Rouge2: 0.2271 |
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- Rougel: 0.3003 |
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- Rougelsum: 0.3005 |
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- Gen Len: 18.9811 |
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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: 2e-05 |
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- train_batch_size: 3 |
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- eval_batch_size: 3 |
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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: 4 |
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- mixed_precision_training: Native AMP |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
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|:-------------:|:-----:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| |
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| 0.372 | 1.0 | 4189 | 0.2643 | 0.3326 | 0.2341 | 0.3055 | 0.3053 | 18.9784 | |
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| 0.3303 | 2.0 | 8378 | 0.2558 | 0.3379 | 0.2401 | 0.3112 | 0.3112 | 18.9808 | |
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| 0.3069 | 3.0 | 12567 | 0.2482 | 0.34 | 0.241 | 0.3129 | 0.313 | 18.9815 | |
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| 0.3057 | 4.0 | 16756 | 0.2491 | 0.3279 | 0.2271 | 0.3003 | 0.3005 | 18.9811 | |
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### Framework versions |
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- Transformers 4.39.3 |
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- Pytorch 2.1.2 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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