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--- |
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license: apache-2.0 |
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base_model: 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: FinetunedT5Model |
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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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# FinetunedT5Model |
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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: 1.6604 |
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- Rouge1: 0.2931 |
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- Rouge2: 0.1635 |
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- Rougel: 0.2526 |
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- Rougelsum: 0.253 |
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- Gen Len: 18.9262 |
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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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### 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 | 38 | 2.0609 | 0.255 | 0.1343 | 0.2236 | 0.2245 | 18.7987 | |
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| No log | 2.0 | 76 | 1.9133 | 0.2719 | 0.1447 | 0.2388 | 0.2388 | 18.9463 | |
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| No log | 3.0 | 114 | 1.8280 | 0.2784 | 0.1548 | 0.2433 | 0.2437 | 18.9262 | |
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| No log | 4.0 | 152 | 1.7742 | 0.2847 | 0.159 | 0.2481 | 0.2485 | 18.9262 | |
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| No log | 5.0 | 190 | 1.7346 | 0.2866 | 0.1602 | 0.2488 | 0.2492 | 18.9262 | |
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| No log | 6.0 | 228 | 1.7067 | 0.2888 | 0.162 | 0.25 | 0.2506 | 18.9262 | |
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| No log | 7.0 | 266 | 1.6846 | 0.2861 | 0.1591 | 0.2482 | 0.2489 | 18.9262 | |
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| No log | 8.0 | 304 | 1.6712 | 0.2922 | 0.1625 | 0.2528 | 0.2531 | 18.9262 | |
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| No log | 9.0 | 342 | 1.6629 | 0.293 | 0.1635 | 0.2528 | 0.2532 | 18.9262 | |
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| No log | 10.0 | 380 | 1.6604 | 0.2931 | 0.1635 | 0.2526 | 0.253 | 18.9262 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.15.0 |
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- Tokenizers 0.15.0 |
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