distilbert-base-multilingual-cased-finetuned-en_de_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: 3.5591
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 |
|---|---|---|---|
| 4.2532 | 1.0 | 69 | 3.5865 |
| 3.729 | 2.0 | 138 | 3.5203 |
| 3.5589 | 3.0 | 207 | 3.4562 |
| 3.4918 | 4.0 | 276 | 3.4497 |
| 3.4582 | 5.0 | 345 | 3.2333 |
| 3.3929 | 6.0 | 414 | 3.5591 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
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