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BERTicSENTPOS2
This model is a fine-tuned version of Tanor/BERTicSENTPOS2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0494
- F1: 0.5641
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 | 47 | 0.0748 | 0.0 |
| No log | 2.0 | 95 | 0.0502 | 0.0 |
| No log | 2.99 | 142 | 0.0432 | 0.4286 |
| No log | 4.0 | 190 | 0.0436 | 0.5455 |
| No log | 4.99 | 237 | 0.0496 | 0.4706 |
| No log | 6.0 | 285 | 0.0494 | 0.5641 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.1.0.dev20230801
- Datasets 2.14.2
- Tokenizers 0.13.3
