---
license: mit
base_model: jahb57/test_trainer
tags:
- generated_from_trainer
datasets:
- yelp_review_full
metrics:
- accuracy
model-index:
- name: ORIGINAL_LORA_Model
  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. -->

# ORIGINAL_LORA_Model

This model is a fine-tuned version of [jahb57/test_trainer](https://huggingface.co/jahb57/test_trainer) on the yelp_review_full dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8158
- Accuracy: 0.6355

## 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: 12
- eval_batch_size: 12
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.9375        | 1.0   | 1667  | 0.8691          | 0.6155   |
| 0.8754        | 2.0   | 3334  | 0.8640          | 0.619    |
| 0.865         | 3.0   | 5001  | 0.8303          | 0.628    |
| 0.8558        | 4.0   | 6668  | 0.8217          | 0.6295   |
| 0.8267        | 5.0   | 8335  | 0.8195          | 0.6295   |
| 0.8042        | 6.0   | 10002 | 0.8388          | 0.638    |
| 0.797         | 7.0   | 11669 | 0.8172          | 0.6405   |
| 0.7887        | 8.0   | 13336 | 0.8146          | 0.6385   |
| 0.7764        | 9.0   | 15003 | 0.8202          | 0.635    |
| 0.7807        | 10.0  | 16670 | 0.8158          | 0.6355   |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1