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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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- 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-act2pas |
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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-act2pas |
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This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.5109 |
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- Rouge1: 84.3715 |
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- Rouge2: 72.1078 |
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- Rougel: 84.2884 |
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- Rougelsum: 84.2975 |
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- Gen Len: 14.2801 |
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- Accuracy Log Reg: 0.7544 |
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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: 32 |
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- eval_batch_size: 32 |
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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: 5 |
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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 | Accuracy Log Reg | |
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|:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|:----------------:| |
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| 0.5683 | 1.0 | 2615 | 0.5281 | 84.0579 | 71.5636 | 83.9798 | 83.9904 | 14.2664 | 0.7474 | |
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| 0.5449 | 2.0 | 5230 | 0.5191 | 84.2078 | 71.7956 | 84.1207 | 84.1313 | 14.271 | 0.7496 | |
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| 0.5343 | 3.0 | 7845 | 0.5142 | 84.3083 | 72.002 | 84.228 | 84.2376 | 14.2794 | 0.753 | |
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| 0.5219 | 4.0 | 10460 | 0.5117 | 84.3502 | 72.0894 | 84.2692 | 84.2779 | 14.2845 | 0.7526 | |
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| 0.5179 | 5.0 | 13075 | 0.5109 | 84.3715 | 72.1078 | 84.2884 | 84.2975 | 14.2801 | 0.7544 | |
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### Framework versions |
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- Transformers 4.40.0 |
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- Pytorch 2.1.2 |
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- Datasets 2.18.0 |
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- Tokenizers 0.19.1 |
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