mt5-small-finetuned-MultiHead-230215-finetuned-MultiHead-230221
This model is a fine-tuned version of Shularp/mt5-small-finetuned-MultiHead-230215 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.7555
- Bleu: 13.5053
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: 32
- eval_batch_size: 32
- 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 | Bleu |
|---|---|---|---|---|
| No log | 1.0 | 73 | 1.8197 | 12.8669 |
| No log | 2.0 | 146 | 1.7688 | 13.2528 |
| No log | 3.0 | 219 | 1.7555 | 13.5053 |
Framework versions
- Transformers 4.26.1
- Pytorch 1.13.1+cu116
- Datasets 2.9.0
- Tokenizers 0.13.2