mt5-base
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2760
- Bleu: 8.6707
- Gen Len: 16.9319
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: 0.001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 256
- total_train_batch_size: 2048
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|
| No log | 1.0 | 183 | 1.4997 | 6.2141 | 17.0073 |
| No log | 2.0 | 366 | 1.3718 | 7.4647 | 16.9205 |
| 1.9408 | 3.0 | 549 | 1.3184 | 8.1938 | 16.8962 |
| 1.9408 | 4.0 | 732 | 1.2857 | 8.5265 | 16.9167 |
| 1.9408 | 5.0 | 915 | 1.2760 | 8.6707 | 16.9319 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.1.0
- Tokenizers 0.12.1
