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--- |
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license: apache-2.0 |
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base_model: google-t5/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_sum_finetuned |
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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_sum_finetuned |
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This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.3362 |
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- Rouge1: 0.4154 |
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- Rouge2: 0.1753 |
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- Rougel: 0.2649 |
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- Rougelsum: 0.2649 |
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- Gen Len: 282.3387 |
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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: 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: 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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| No log | 1.0 | 124 | 2.4013 | 0.4053 | 0.1691 | 0.2482 | 0.2483 | 258.871 | |
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| No log | 2.0 | 248 | 2.3594 | 0.4097 | 0.173 | 0.2596 | 0.2596 | 279.121 | |
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| No log | 3.0 | 372 | 2.3435 | 0.416 | 0.1757 | 0.2663 | 0.2661 | 284.6048 | |
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| No log | 4.0 | 496 | 2.3362 | 0.4154 | 0.1753 | 0.2649 | 0.2649 | 282.3387 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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