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BERTicSENTPOS0
This model is a fine-tuned version of Tanor/BERTicSENTPOS0 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0195
- F1: 0.6667
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: 64
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 32
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 |
|---|---|---|---|---|
| No log | 0.99 | 52 | 0.0469 | 0.0 |
| No log | 2.0 | 105 | 0.0398 | 0.0 |
| No log | 2.99 | 157 | 0.0172 | 0.0 |
| No log | 4.0 | 210 | 0.0141 | 0.6364 |
| No log | 4.99 | 262 | 0.0135 | 0.6667 |
| No log | 6.0 | 315 | 0.0125 | 0.6667 |
| No log | 6.99 | 367 | 0.0175 | 0.6 |
| No log | 8.0 | 420 | 0.0249 | 0.6667 |
| No log | 8.99 | 472 | 0.0195 | 0.6667 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1
- Datasets 2.13.1
- Tokenizers 0.13.3
