distilbert-base-multilingual-cased-finetuned-en_pt_es
This model is a fine-tuned version of distilbert/distilbert-base-multilingual-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.1380
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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 6
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 4.9306 | 1.0 | 30 | 4.1760 |
| 4.5018 | 2.0 | 60 | 4.3616 |
| 4.4822 | 3.0 | 90 | 4.3193 |
| 4.3008 | 4.0 | 120 | 4.1097 |
| 4.3114 | 5.0 | 150 | 4.3136 |
| 4.2238 | 6.0 | 180 | 4.1380 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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