distilbert-base-multilingual-cased-v5
This model is a fine-tuned version of distilbert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0660
- Accuracy: 0.6953
- F1: 0.5942
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
---|---|---|---|---|---|
1.7222 | 0.9877 | 40 | 1.3477 | 0.4755 | 0.3729 |
0.538 | 2.0 | 81 | 0.4424 | 0.6523 | 0.5521 |
0.1816 | 2.9877 | 121 | 0.1726 | 0.7030 | 0.6092 |
0.0626 | 3.9506 | 160 | 0.0945 | 0.7172 | 0.6245 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.6.0+cu126
- Datasets 3.3.2
- Tokenizers 0.19.1
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