t5-small-samsum-ft-experiment_1
This model is a fine-tuned version of google-t5/t5-small on the samsum dataset. It achieves the following results on the evaluation set:
- Loss: 0.5746
- Rouge1: 0.41
- Rouge2: 0.1899
- Rougel: 0.3487
- Rougelsum: 0.3487
- Gen Len: 16.6247
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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 |
|---|---|---|---|---|---|---|---|---|
| 0.9906 | 1.0 | 921 | 0.6001 | 0.3948 | 0.172 | 0.3315 | 0.3313 | 16.8227 |
| 0.6536 | 2.0 | 1842 | 0.5834 | 0.4025 | 0.1807 | 0.3409 | 0.341 | 16.3545 |
| 0.6259 | 3.0 | 2763 | 0.5756 | 0.4101 | 0.188 | 0.3479 | 0.348 | 16.6687 |
| 0.6174 | 4.0 | 3684 | 0.5746 | 0.41 | 0.1899 | 0.3487 | 0.3487 | 16.6247 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1