---
base_model: ShynBui/comment_classification
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: comment_classification_v2
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# comment_classification_v2

This model is a fine-tuned version of [ShynBui/comment_classification](https://huggingface.co/ShynBui/comment_classification) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1372
- Accuracy: 0.9775

## 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: 8
- eval_batch_size: 8
- seed: 42
- 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 | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.1271        | 1.0   | 5190  | 0.1112          | 0.9738   |
| 0.077         | 2.0   | 10380 | 0.0945          | 0.9749   |
| 0.0494        | 3.0   | 15570 | 0.1181          | 0.9766   |
| 0.0342        | 4.0   | 20760 | 0.1282          | 0.9763   |
| 0.0201        | 5.0   | 25950 | 0.1372          | 0.9775   |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Tokenizers 0.15.2