<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->
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: 0.2899
- F1-score: 0.8990
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 |
|---|---|---|---|---|
| 0.3145 | 1.0 | 2500 | 0.2899 | 0.8990 |
| 0.2099 | 2.0 | 5000 | 0.2939 | 0.9133 |
| 0.1101 | 3.0 | 7500 | 0.4554 | 0.9120 |
| 0.034 | 4.0 | 10000 | 0.5683 | 0.9098 |
| 0.0171 | 5.0 | 12500 | 0.6207 | 0.9140 |
Framework versions
- Transformers 4.33.1
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
