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--- |
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license: apache-2.0 |
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base_model: t5-base |
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tags: |
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- summarization |
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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: t5-base-finetuned-amazon-en-es |
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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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# t5-base-finetuned-amazon-en-es |
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 5.0971 |
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- Rouge1: 5.4907 |
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- Rouge2: 0.0 |
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- Rougel: 5.4907 |
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- Rougelsum: 5.4907 |
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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: 5.6e-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: 8 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:| |
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| 5.7476 | 1.0 | 2 | 5.4826 | 8.0818 | 0.0 | 8.0898 | 6.7159 | |
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| 5.6005 | 2.0 | 4 | 5.3150 | 5.4125 | 0.0 | 5.4125 | 5.4654 | |
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| 5.4222 | 3.0 | 6 | 5.2311 | 5.3768 | 0.0 | 5.3768 | 5.4298 | |
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| 4.9619 | 4.0 | 8 | 5.1824 | 6.6672 | 0.0 | 6.6672 | 6.6794 | |
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| 4.2747 | 5.0 | 10 | 5.1472 | 6.6672 | 0.0 | 6.6672 | 6.6794 | |
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| 4.2784 | 6.0 | 12 | 5.1219 | 5.4907 | 0.0 | 5.4907 | 5.4907 | |
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| 5.2337 | 7.0 | 14 | 5.1052 | 5.4907 | 0.0 | 5.4907 | 5.4907 | |
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| 4.7063 | 8.0 | 16 | 5.0971 | 5.4907 | 0.0 | 5.4907 | 5.4907 | |
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### Framework versions |
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- Transformers 4.32.0 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.4 |
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- Tokenizers 0.13.3 |
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