<!-- 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. -->
BERTicSENTNEG4
This model is a fine-tuned version of Tanor/BERTicSENTNEG4 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0473
- 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 | 0.98 | 47 | 0.0321 | 0.7727 |
| No log | 1.99 | 95 | 0.0309 | 0.6667 |
| No log | 2.99 | 143 | 0.0293 | 0.6809 |
| No log | 4.0 | 191 | 0.0405 | 0.6429 |
| No log | 4.98 | 238 | 0.0366 | 0.7442 |
| No log | 5.99 | 286 | 0.0473 | 0.6667 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.1.0.dev20230801
- Datasets 2.14.2
- Tokenizers 0.13.3
