mt5-ft-sst5
This model is a fine-tuned version of google/mt5-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: nan
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: 4e-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: 8
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0 | 1.0 | 1206 | nan |
| 0.0 | 2.0 | 2412 | nan |
| 0.0 | 3.0 | 3618 | nan |
| 0.0 | 4.0 | 4824 | nan |
| 0.0 | 5.0 | 6030 | nan |
| 0.0 | 6.0 | 7236 | nan |
| 0.0 | 7.0 | 8442 | nan |
| 0.0 | 8.0 | 9648 | nan |
Framework versions
- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1
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Model tree for pablo-chocobar/mt5-ft-sst5
Base model
google/mt5-base