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t5-small-finetuned-t5-Thor4
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.5607
- Rouge1: 30.1917
- Rouge2: 17.6334
- Rougel: 26.8513
- Rougelsum: 28.7606
- Gen Len: 18.9881
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 1.9251 | 1.0 | 675 | 1.6082 | 29.3372 | 16.9607 | 26.1096 | 27.9357 | 18.9874 |
| 1.763 | 2.0 | 1350 | 1.5696 | 30.1869 | 17.5627 | 26.8425 | 28.7413 | 18.9881 |
| 1.7139 | 3.0 | 2025 | 1.5607 | 30.1917 | 17.6334 | 26.8513 | 28.7606 | 18.9881 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2
