File size: 1,599 Bytes
b9f58cd 58cbf86 b9f58cd 58cbf86 b9f58cd 1f7ef44 b9f58cd 7f20932 b9f58cd 1f7ef44 b9f58cd 4265d99 58cbf86 4265d99 |
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 |
---
base_model: Yousefmd/arabert-sentiment-classification
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: feedback-classification
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. -->
# feedback-classification
This model is a fine-tuned version of [Yousefmd/arabert-sentiment-classification](https://huggingface.co/Yousefmd/arabert-sentiment-classification) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5129
- Macro F1: 0.8172
- Accuracy: 0.8340
## 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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
### Training results
| Training Loss | Epoch | Step | Validation Loss | Macro F1 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:|
| 0.532 | 1.0 | 1238 | 0.4517 | 0.8098 | 0.8279 |
| 0.3349 | 2.0 | 2476 | 0.5129 | 0.8172 | 0.8340 |
### Framework versions
- Transformers 4.33.3
- Pytorch 1.12.0
- Datasets 2.14.5
- Tokenizers 0.13.3
|