metadata
base_model: bert-base-uncased
library_name: transformers
license: apache-2.0
metrics:
- accuracy
tags:
- generated_from_trainer
model-index:
- name: CHATGPT_USER_REVIEWS_Bert
results: []
CHATGPT_USER_REVIEWS_Bert
This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2797
- Accuracy: 0.9554
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 |
|---|---|---|---|---|
| No log | 1.0 | 253 | 0.3518 | 0.8661 |
| 0.316 | 2.0 | 506 | 0.5223 | 0.875 |
| 0.316 | 3.0 | 759 | 0.6317 | 0.875 |
| 0.0983 | 4.0 | 1012 | 0.6619 | 0.8929 |
| 0.0983 | 5.0 | 1265 | 0.7423 | 0.8839 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0