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tweet_sentiments_analysis_distilbert
This model is a fine-tuned version of distilbert-base-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6674
- F1-score: 0.7179
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | F1-score |
|---|---|---|---|---|
| 0.7745 | 1.0 | 640 | 0.7382 | 0.6659 |
| 0.6531 | 2.0 | 1280 | 0.6674 | 0.7179 |
| 0.562 | 3.0 | 1920 | 0.7020 | 0.7375 |
| 0.2903 | 4.0 | 2560 | 1.0358 | 0.7238 |
| 0.1816 | 5.0 | 3200 | 1.2948 | 0.7282 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
