Elite_Enigmas/Version1
This model is a fine-tuned version of google/umt5-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.8451
- Wer: 1.1562
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: 0.0005
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2000
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 7.8432 | 4.0 | 4000 | 3.8762 | 1.0 |
| 3.0048 | 8.0 | 8000 | 2.8451 | 1.1562 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.4.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
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Base model
google/umt5-small