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--- |
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license: apache-2.0 |
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base_model: t5-small |
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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: t5-small-final_combined_dataset |
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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-small-final_combined_dataset |
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1478 |
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- Rouge1: 21.6168 |
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- Rouge2: 19.898 |
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- Rougel: 21.5524 |
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- Rougelsum: 21.5762 |
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- Gen Len: 19.0 |
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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: 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: 10 |
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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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| No log | 1.0 | 24 | 0.9771 | 22.1616 | 19.8054 | 20.8289 | 21.8465 | 19.0 | |
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| No log | 2.0 | 48 | 0.5761 | 21.3116 | 18.9119 | 19.847 | 20.8814 | 19.0 | |
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| No log | 3.0 | 72 | 0.4177 | 21.6168 | 19.898 | 21.5524 | 21.5762 | 19.0 | |
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| No log | 4.0 | 96 | 0.3053 | 21.6168 | 19.898 | 21.5524 | 21.5762 | 19.0 | |
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| No log | 5.0 | 120 | 0.2355 | 21.6168 | 19.898 | 21.5524 | 21.5762 | 19.0 | |
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| No log | 6.0 | 144 | 0.1961 | 21.6168 | 19.898 | 21.5524 | 21.5762 | 19.0 | |
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| No log | 7.0 | 168 | 0.1718 | 21.6168 | 19.898 | 21.5524 | 21.5762 | 19.0 | |
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| No log | 8.0 | 192 | 0.1577 | 21.6168 | 19.898 | 21.5524 | 21.5762 | 19.0 | |
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| No log | 9.0 | 216 | 0.1497 | 21.6168 | 19.898 | 21.5524 | 21.5762 | 19.0 | |
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| No log | 10.0 | 240 | 0.1478 | 21.6168 | 19.898 | 21.5524 | 21.5762 | 19.0 | |
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### Framework versions |
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- Transformers 4.37.2 |
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- Pytorch 2.2.0+cpu |
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- Datasets 2.17.0 |
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- Tokenizers 0.15.2 |
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