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T5-small-issues
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 3.5636
- Rouge1: 0.2138
- Rouge2: 0.0795
- Rougel: 0.193
- Rougelsum: 0.1933
- Gen Len: 14.5672
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: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 119 | 3.9060 | 0.1709 | 0.057 | 0.1512 | 0.1512 | 17.8298 |
| No log | 2.0 | 238 | 3.6568 | 0.2022 | 0.0738 | 0.1807 | 0.181 | 15.834 |
| No log | 3.0 | 357 | 3.5830 | 0.2112 | 0.08 | 0.1916 | 0.1918 | 14.916 |
| No log | 4.0 | 476 | 3.5636 | 0.2138 | 0.0795 | 0.193 | 0.1933 | 14.5672 |
Framework versions
- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
