metadata
base_model: ShynBui/comment_classification
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: comment_classification_v2
results: []
comment_classification_v2
This model is a fine-tuned version of 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