umt5-base-quechua-espanol-finetuned-model-v2
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: 1.4914
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: 2
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.0956 | 0.2259 | 1000 | 2.5133 |
| 2.5227 | 0.4518 | 2000 | 2.1119 |
| 2.2631 | 0.6777 | 3000 | 1.8845 |
| 2.0653 | 0.9035 | 4000 | 1.7568 |
| 1.899 | 1.1294 | 5000 | 1.6684 |
| 1.8405 | 1.3553 | 6000 | 1.5924 |
| 1.7622 | 1.5812 | 7000 | 1.5415 |
| 1.7167 | 1.8071 | 8000 | 1.4914 |
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-v2
Base model
google/umt5-base