|
--- |
|
library_name: transformers |
|
license: apache-2.0 |
|
base_model: HooshvareLab/bert-fa-base-uncased |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
- f1 |
|
model-index: |
|
- name: Bert-Sentiment-Fa |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# Bert-Sentiment-Fa |
|
|
|
This model is a fine-tuned version of [HooshvareLab/bert-fa-base-uncased](https://huggingface.co./HooshvareLab/bert-fa-base-uncased) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.4345 |
|
- Accuracy: 0.8627 |
|
- F1: 0.8098 |
|
|
|
## 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 | 143 | 0.6861 | 0.7412 | 0.6297 | |
|
| No log | 2.0 | 286 | 0.4557 | 0.8510 | 0.7951 | |
|
| No log | 3.0 | 429 | 0.3941 | 0.8627 | 0.8116 | |
|
| 0.5612 | 4.0 | 572 | 0.3894 | 0.8627 | 0.8081 | |
|
| 0.5612 | 5.0 | 715 | 0.4092 | 0.8588 | 0.8071 | |
|
| 0.5612 | 6.0 | 858 | 0.3987 | 0.8627 | 0.8077 | |
|
| 0.2275 | 7.0 | 1001 | 0.4105 | 0.8784 | 0.8264 | |
|
| 0.2275 | 8.0 | 1144 | 0.4192 | 0.8627 | 0.8071 | |
|
| 0.2275 | 9.0 | 1287 | 0.4305 | 0.8667 | 0.8113 | |
|
| 0.2275 | 10.0 | 1430 | 0.4345 | 0.8627 | 0.8098 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.44.2 |
|
- Pytorch 2.4.0+cu121 |
|
- Datasets 2.21.0 |
|
- Tokenizers 0.19.1 |
|
|
