|
--- |
|
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 [qarib/bert-base-qarib_far_9920k](https://huggingface.co/qarib/bert-base-qarib_far_9920k) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.0442 |
|
- Macro F1: 0.8311 |
|
- Accuracy: 0.8275 |
|
|
|
## 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: 5 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Macro F1 | Accuracy | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:|:--------:| |
|
| No log | 1.0 | 342 | 0.5528 | 0.7897 | 0.7851 | |
|
| 0.5472 | 2.0 | 684 | 0.6922 | 0.8200 | 0.8129 | |
|
| 0.2753 | 3.0 | 1026 | 0.9658 | 0.8113 | 0.8070 | |
|
| 0.2753 | 4.0 | 1368 | 0.9768 | 0.8349 | 0.8304 | |
|
| 0.1171 | 5.0 | 1710 | 1.0442 | 0.8311 | 0.8275 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.30.1 |
|
- Pytorch 2.0.1+cu118 |
|
- Datasets 2.12.0 |
|
- Tokenizers 0.13.3 |
|
|
