File size: 2,116 Bytes
40dcfd0 06fc7e4 40dcfd0 06fc7e4 40dcfd0 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 |
---
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
|