mt5-small-finetuned-1.1.0
This model is a fine-tuned version of google/mt5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.5550
- Rouge1: 18.5458
- Rouge2: 5.7454
- Rougel: 15.5515
- Rougelsum: 15.7806
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: 5.6e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 15.4799 | 1.0 | 97 | 6.9041 | 16.3755 | 5.6407 | 13.8081 | 13.8801 |
| 9.8046 | 2.0 | 194 | 4.5550 | 18.5458 | 5.7454 | 15.5515 | 15.7806 |
Framework versions
- Transformers 4.22.2
- Pytorch 1.12.1+cu113
- Datasets 2.5.1
- Tokenizers 0.12.1