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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: test_sum_abs_t5_small_wasa_no_stops |
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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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# test_sum_abs_t5_small_wasa_no_stops |
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This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 2.1499 |
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- Rouge1: 0.3402 |
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- Rouge2: 0.2004 |
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- Rougel: 0.315 |
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- Rougelsum: 0.315 |
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- Gen Len: 18.8435 |
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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: 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: 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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| 2.5696 | 1.0 | 1764 | 2.2999 | 0.3394 | 0.2011 | 0.3133 | 0.3131 | 18.6902 | |
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| 2.4055 | 2.0 | 3528 | 2.2091 | 0.3432 | 0.202 | 0.3174 | 0.3171 | 18.8214 | |
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| 2.3447 | 3.0 | 5292 | 2.1597 | 0.3463 | 0.2048 | 0.3201 | 0.3199 | 18.8339 | |
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| 2.3436 | 4.0 | 7056 | 2.1499 | 0.3402 | 0.2004 | 0.315 | 0.315 | 18.8435 | |
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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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