umt5-base-quechua-espanol-finetuned-model
This model is a fine-tuned version of google/umt5-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.7343
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: 0.0002
- train_batch_size: 22
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant
- num_epochs: 1
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.1343 | 0.1581 | 700 | 2.7338 |
| 3.0956 | 0.3162 | 1400 | 2.3095 |
| 2.5227 | 0.4744 | 2100 | 2.0817 |
| 2.3735 | 0.6325 | 2800 | 1.9237 |
| 2.1474 | 0.7906 | 3500 | 1.8187 |
| 2.0653 | 0.9487 | 4200 | 1.7343 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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Model tree for ignaciovillanueva/umt5-base-quechua-espanol-finetuned-model
Base model
google/umt5-base