metadata
library_name: transformers
license: apache-2.0
base_model: rezaFarsh/ternary_persian_sentiment_analysis
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 rezaFarsh/ternary_persian_sentiment_analysis on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.2467
- Accuracy: 0.3696
- F1: 0.2679
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-06
- train_batch_size: 16
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 26 | 3.0226 | 0.1739 | 0.1632 |
| No log | 2.0 | 52 | 2.0593 | 0.3261 | 0.2614 |
| No log | 3.0 | 78 | 1.6844 | 0.3696 | 0.2821 |
| No log | 4.0 | 104 | 1.4833 | 0.3696 | 0.2731 |
| No log | 5.0 | 130 | 1.3616 | 0.3913 | 0.2871 |
| No log | 6.0 | 156 | 1.3051 | 0.3913 | 0.2871 |
| No log | 7.0 | 182 | 1.2747 | 0.3913 | 0.2871 |
| No log | 8.0 | 208 | 1.2585 | 0.3696 | 0.2679 |
| No log | 9.0 | 234 | 1.2488 | 0.3913 | 0.2871 |
| No log | 10.0 | 260 | 1.2467 | 0.3696 | 0.2679 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1