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distilbert-tweet-analysis
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3458
- F1: 0.9133
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
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 1.0 | 44 | 0.3858 | 0.9067 |
| No log | 2.0 | 88 | 0.3458 | 0.9133 |
| No log | 3.0 | 132 | 0.2841 | 0.9133 |
Framework versions
- Transformers 4.27.2
- Pytorch 1.13.1+cu116
- Datasets 2.10.1
- Tokenizers 0.13.2
