working
This model is a fine-tuned version of google/umt5-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2312
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: 5e-05
- train_batch_size: 8
- eval_batch_size: 16
- 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 |
|---|---|---|---|
| 0.7329 | 1.0 | 2321 | 0.3316 |
| 0.3731 | 2.0 | 4642 | 0.2464 |
| 0.3269 | 3.0 | 6963 | 0.2312 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.1.2
- Datasets 2.19.1
- Tokenizers 0.19.1
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Base model
google/umt5-small