bert-base-multilingual-uncased-sentiment
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.2373
- Accuracy: 0.4444
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
Training Loss | Epoch | Step | Validation Loss | Accuracy |
---|---|---|---|---|
No log | 1.0 | 428 | 2.8524 | 0.3076 |
0.3941 | 2.0 | 856 | 2.3726 | 0.5602 |
0.1962 | 3.0 | 1284 | 3.2373 | 0.4444 |
Framework versions
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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