sentence_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: 0.2850
- F1-score: 0.8986
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 |
|---|---|---|---|---|
| 0.3178 | 1.0 | 2500 | 0.2850 | 0.8986 |
| 0.2157 | 2.0 | 5000 | 0.3249 | 0.9046 |
| 0.1018 | 3.0 | 7500 | 0.4707 | 0.9080 |
| 0.0295 | 4.0 | 10000 | 0.5929 | 0.9090 |
| 0.0133 | 5.0 | 12500 | 0.6411 | 0.9120 |
Framework versions
- Transformers 4.32.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3