metadata
base_model: Tanor/BERTicSENTNEG6
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: BERTicSENTNEG6
results: []
BERTicSENTNEG6
This model is a fine-tuned version of Tanor/BERTicSENTNEG6 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0559
- F1: 0.5763
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 | 0.9843 | 47 | 0.0443 | 0.5902 |
| No log | 1.9895 | 95 | 0.0450 | 0.6415 |
| No log | 2.9948 | 143 | 0.0428 | 0.6 |
| No log | 4.0 | 191 | 0.0459 | 0.6122 |
| No log | 4.9843 | 238 | 0.0583 | 0.5846 |
| No log | 5.9895 | 286 | 0.0559 | 0.5763 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.2
- Datasets 2.19.0
- Tokenizers 0.19.1