distilbert-base-uncased-finetuned-sst-2-english
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2092
- Accuracy: 0.9323
- F1: 0.8258
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: 1e-05
- train_batch_size: 16
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 20 | 0.2163 | 0.9398 | 0.8579 |
| No log | 2.0 | 40 | 0.2091 | 0.9323 | 0.8258 |
| No log | 3.0 | 60 | 0.2092 | 0.9323 | 0.8258 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.12.1+cu113
- Datasets 2.7.1
- Tokenizers 0.13.2
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