metadata
library_name: transformers
license: apache-2.0
base_model: farshadafx/Bert-Sentiment-Fa
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: Bert-Sentiment-Fa
results: []
Bert-Sentiment-Fa
This model is a fine-tuned version of farshadafx/Bert-Sentiment-Fa on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.4623
- Accuracy: 0.4783
- F1: 0.4829
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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 52 | 1.0841 | 0.4130 | 0.1949 |
| No log | 2.0 | 104 | 1.0502 | 0.4565 | 0.3982 |
| No log | 3.0 | 156 | 1.1478 | 0.5 | 0.5102 |
| No log | 4.0 | 208 | 1.2943 | 0.4783 | 0.4974 |
| No log | 5.0 | 260 | 1.4623 | 0.4783 | 0.4829 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1