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--- |
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license: apache-2.0 |
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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-devices-sum-ver2 |
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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-devices-sum-ver2 |
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3679 |
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- Rouge1: 90.6465 |
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- Rouge2: 65.2833 |
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- Rougel: 90.6707 |
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- Rougelsum: 90.7313 |
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- Gen Len: 4.4702 |
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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: 10 |
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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 | 91 | 1.0957 | 58.9566 | 33.4113 | 58.8004 | 58.8863 | 4.8308 | |
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| No log | 2.0 | 182 | 0.7017 | 78.9566 | 49.9716 | 78.9338 | 78.9643 | 4.3329 | |
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| No log | 3.0 | 273 | 0.5386 | 84.8786 | 56.9622 | 84.8204 | 84.9117 | 4.4577 | |
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| No log | 4.0 | 364 | 0.4693 | 87.9792 | 61.0779 | 87.8795 | 88.0098 | 4.4383 | |
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| No log | 5.0 | 455 | 0.4273 | 89.4667 | 63.1994 | 89.4169 | 89.5197 | 4.4743 | |
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| 1.0586 | 6.0 | 546 | 0.4002 | 89.6456 | 63.5041 | 89.6062 | 89.7042 | 4.4452 | |
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| 1.0586 | 7.0 | 637 | 0.3848 | 89.9993 | 64.2505 | 89.9775 | 90.0651 | 4.423 | |
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| 1.0586 | 8.0 | 728 | 0.3752 | 90.4249 | 64.819 | 90.4434 | 90.5111 | 4.4799 | |
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| 1.0586 | 9.0 | 819 | 0.3703 | 90.4689 | 65.0086 | 90.4954 | 90.5632 | 4.4632 | |
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| 1.0586 | 10.0 | 910 | 0.3679 | 90.6465 | 65.2833 | 90.6707 | 90.7313 | 4.4702 | |
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### Framework versions |
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- Transformers 4.18.0 |
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- Pytorch 1.10.0+cu111 |
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- Datasets 2.0.0 |
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- Tokenizers 0.11.6 |
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