metadata
base_model: Tanor/BERTicSENTNEG4
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: BERTicSENTNEG4
results: []
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: 0.0401
- 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 | 0.9843 | 47 | 0.0288 | 0.7317 |
| No log | 1.9895 | 95 | 0.0265 | 0.7619 |
| No log | 2.9948 | 143 | 0.0327 | 0.7727 |
| No log | 4.0 | 191 | 0.0333 | 0.7111 |
| No log | 4.9843 | 238 | 0.0401 | 0.6667 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.2
- Datasets 2.19.0
- Tokenizers 0.19.1