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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-checkpoint-finetuned-pav1 |
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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-checkpoint-finetuned-pav1 |
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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: 2.8461 |
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- Rouge1: 8.8662 |
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- Rouge2: 2.3482 |
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- Rougel: 7.1437 |
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- Rougelsum: 8.1986 |
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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: 3e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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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: 6 |
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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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| 3.2493 | 1.0 | 1250 | 2.9730 | 8.6473 | 2.2038 | 6.9787 | 7.9995 | 19.0 | |
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| 3.1397 | 2.0 | 2500 | 2.9083 | 8.8119 | 2.332 | 7.0958 | 8.1469 | 19.0 | |
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| 3.0943 | 3.0 | 3750 | 2.8793 | 8.9522 | 2.4215 | 7.21 | 8.2723 | 19.0 | |
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| 3.0728 | 4.0 | 5000 | 2.8571 | 8.8992 | 2.3688 | 7.174 | 8.2298 | 19.0 | |
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| 3.0566 | 5.0 | 6250 | 2.8493 | 8.841 | 2.3368 | 7.1312 | 8.1745 | 19.0 | |
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| 3.0409 | 6.0 | 7500 | 2.8461 | 8.8662 | 2.3482 | 7.1437 | 8.1986 | 19.0 | |
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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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