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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-ver1 |
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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-ver1 |
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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: 0.2335 |
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- Rouge1: 93.7171 |
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- Rouge2: 73.3058 |
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- Rougel: 93.7211 |
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- Rougelsum: 93.689 |
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- Gen Len: 4.7246 |
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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 | 185 | 0.6517 | 83.2503 | 55.7516 | 83.254 | 83.2722 | 4.4729 | |
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| No log | 2.0 | 370 | 0.4239 | 89.2246 | 65.7477 | 89.2223 | 89.2288 | 4.5575 | |
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| 1.0224 | 3.0 | 555 | 0.3459 | 91.0524 | 68.4783 | 91.0222 | 91.0312 | 4.6685 | |
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| 1.0224 | 4.0 | 740 | 0.3023 | 91.9741 | 70.1066 | 91.9886 | 91.9525 | 4.6549 | |
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| 1.0224 | 5.0 | 925 | 0.2797 | 92.667 | 71.3468 | 92.6706 | 92.6611 | 4.6969 | |
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| 0.3678 | 6.0 | 1110 | 0.2616 | 93.229 | 72.2805 | 93.222 | 93.1935 | 4.7179 | |
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| 0.3678 | 7.0 | 1295 | 0.2469 | 93.362 | 72.6985 | 93.3651 | 93.3294 | 4.7111 | |
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| 0.3678 | 8.0 | 1480 | 0.2401 | 93.5689 | 73.009 | 93.582 | 93.5377 | 4.7192 | |
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| 0.2902 | 9.0 | 1665 | 0.2350 | 93.7013 | 73.2685 | 93.7256 | 93.684 | 4.724 | |
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| 0.2902 | 10.0 | 1850 | 0.2335 | 93.7171 | 73.3058 | 93.7211 | 93.689 | 4.7246 | |
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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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