metadata
base_model: Tanor/BERTicSENTNEG2
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: BERTicSENTNEG2
results: []
BERTicSENTNEG2
This model is a fine-tuned version of Tanor/BERTicSENTNEG2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0572
- F1: 0.625
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 | 0.9895 | 47 | 0.0467 | 0.5263 |
| No log | 2.0 | 95 | 0.0482 | 0.6038 |
| No log | 2.9895 | 142 | 0.0442 | 0.7143 |
| No log | 4.0 | 190 | 0.0567 | 0.6275 |
| No log | 4.9895 | 237 | 0.0573 | 0.6 |
| No log | 6.0 | 285 | 0.0572 | 0.625 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.2
- Datasets 2.19.0
- Tokenizers 0.19.1