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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-finetuned-webnlg-mt-2.0e-04-multicorp |
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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-finetuned-webnlg-mt-2.0e-04-multicorp |
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This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3764 |
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- Rouge1: 0.8196 |
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- Rouge2: 0.6426 |
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- Rougel: 0.6983 |
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- Rougelsum: 0.7239 |
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- Gen Len: 44.2931 |
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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: 0.0002 |
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- train_batch_size: 64 |
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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 | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| |
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| 0.8444 | 1.23 | 1500 | 0.4807 | 0.7814 | 0.5860 | 0.6585 | 0.6825 | 43.3923 | |
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| 0.7098 | 2.47 | 3000 | 0.4127 | 0.8047 | 0.6206 | 0.6824 | 0.7074 | 43.5941 | |
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| 0.678 | 3.7 | 4500 | 0.3856 | 0.8151 | 0.6363 | 0.6933 | 0.7181 | 44.1976 | |
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| 0.651 | 4.93 | 6000 | 0.3764 | 0.8196 | 0.6426 | 0.6983 | 0.7239 | 44.2931 | |
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### Framework versions |
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- Transformers 4.29.2 |
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- Pytorch 2.0.1+cu117 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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