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mt5-base_2_3
This model is a fine-tuned version of obokkkk/mt5-base_2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1465
- Bleu: 9.5474
- Gen Len: 17.854
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 64
- total_train_batch_size: 512
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 175 | 1.1739 | 9.0271 | 17.8543 |
| No log | 2.0 | 350 | 1.1660 | 9.1398 | 17.8468 |
| 1.3653 | 3.0 | 525 | 1.1585 | 9.251 | 17.8656 |
| 1.3653 | 4.0 | 700 | 1.1538 | 9.3176 | 17.8476 |
| 1.3653 | 5.0 | 875 | 1.1518 | 9.3529 | 17.8608 |
| 1.2985 | 6.0 | 1050 | 1.1505 | 9.4818 | 17.8552 |
| 1.2985 | 7.0 | 1225 | 1.1475 | 9.499 | 17.8575 |
| 1.2985 | 8.0 | 1400 | 1.1471 | 9.5511 | 17.871 |
| 1.2632 | 9.0 | 1575 | 1.1459 | 9.5315 | 17.8547 |
| 1.2632 | 10.0 | 1750 | 1.1465 | 9.5474 | 17.854 |
Framework versions
- Transformers 4.18.0
- Pytorch 1.11.0+cu113
- Datasets 2.1.0
- Tokenizers 0.12.1
