test_model
This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.0259
- Rouge1: 0.4784
- Rouge2: 0.4327
- Rougel: 0.4626
- Rougelsum: 0.4653
- Gen Len: 19.0
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: 20
- eval_batch_size: 20
- 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 | 5 | 1.1081 | 0.3875 | 0.3345 | 0.3758 | 0.3778 | 18.9 |
| No log | 2.0 | 10 | 1.0604 | 0.4506 | 0.3974 | 0.4379 | 0.4441 | 18.95 |
| No log | 3.0 | 15 | 1.0350 | 0.4517 | 0.3981 | 0.4353 | 0.4413 | 19.0 |
| No log | 4.0 | 20 | 1.0259 | 0.4784 | 0.4327 | 0.4626 | 0.4653 | 19.0 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.14.1