bert-base-multilingual-finetuned-telugu
This model is a fine-tuned version of distilbert/distilbert-base-multilingual-cased on mounikaiiith/Telugu_Sentiment dataset. It achieves the following results on the evaluation set:
- Loss: 1.8134
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: 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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.1745 | 1.0 | 1000 | 1.9878 |
| 2.0113 | 2.0 | 2000 | 1.8318 |
| 1.9189 | 3.0 | 3000 | 1.7414 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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