license: apache-2.0 | |
tags: | |
- generated_from_trainer | |
datasets: | |
- yelp_review_full | |
metrics: | |
- accuracy | |
base_model: bert-base-cased | |
model-index: | |
- name: Bert_Classifier | |
results: | |
- task: | |
type: text-classification | |
name: Text Classification | |
dataset: | |
name: yelp_review_full | |
type: yelp_review_full | |
config: yelp_review_full | |
split: train | |
args: yelp_review_full | |
metrics: | |
- type: accuracy | |
value: 0.43 | |
name: Accuracy | |
<!-- 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. --> | |
# Bert_Classifier | |
This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the yelp_review_full dataset. | |
It achieves the following results on the evaluation set: | |
- Loss: 1.9851 | |
- Accuracy: 0.43 | |
## 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: 5e-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: 3 | |
### Training results | |
| Training Loss | Epoch | Step | Validation Loss | Accuracy | | |
|:-------------:|:-----:|:----:|:---------------:|:--------:| | |
| No log | 1.0 | 125 | 1.5585 | 0.45 | | |
| No log | 2.0 | 250 | 1.7005 | 0.51 | | |
| No log | 3.0 | 375 | 1.9851 | 0.43 | | |
### Framework versions | |
- Transformers 4.21.3 | |
- Pytorch 1.12.1+cu113 | |
- Datasets 2.4.0 | |
- Tokenizers 0.12.1 | |