mt5_new_2
This model is a fine-tuned version of google/mt5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.1204
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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 0.98 | 45 | 3.6709 |
| No log | 1.98 | 91 | 3.3818 |
| No log | 2.98 | 137 | 3.2990 |
| No log | 3.98 | 183 | 3.2279 |
| No log | 4.99 | 229 | 3.1738 |
| No log | 5.99 | 275 | 3.1438 |
| No log | 6.99 | 321 | 3.1241 |
| No log | 7.84 | 360 | 3.1204 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.1.2
- Datasets 2.15.0
- Tokenizers 0.15.2
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Base model
google/mt5-small