---
license: apache-2.0
base_model: LiYuan/amazon-review-sentiment-analysis
tags:
- generated_from_trainer
model-index:
- name: FineTuned_NewAmazonReview
  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. -->

# FineTuned_NewAmazonReview

This model is a fine-tuned version of [LiYuan/amazon-review-sentiment-analysis](https://huggingface.co/LiYuan/amazon-review-sentiment-analysis) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9763
- Accuracy: 0.67
## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 1.5281        | 0.1   | 500   | 1.4426          |
| 1.3849        | 0.2   | 1000  | 1.3289          |
| 1.2785        | 0.3   | 1500  | 1.2364          |
| 1.2415        | 0.4   | 2000  | 1.2403          |
| 1.2113        | 0.5   | 2500  | 1.1924          |
| 1.1661        | 0.6   | 3000  | 1.2096          |
| 1.1283        | 0.7   | 3500  | 1.1103          |
| 1.1176        | 0.8   | 4000  | 1.0909          |
| 1.1048        | 0.9   | 4500  | 1.0933          |
| 1.0746        | 1.0   | 5000  | 1.0432          |
| 0.9869        | 1.1   | 5500  | 1.1254          |
| 0.9895        | 1.2   | 6000  | 1.0309          |
| 0.987         | 1.3   | 6500  | 1.0326          |
| 0.9618        | 1.4   | 7000  | 1.0184          |
| 0.9626        | 1.5   | 7500  | 1.0095          |
| 0.964         | 1.6   | 8000  | 1.0016          |
| 0.9484        | 1.7   | 8500  | 0.9964          |
| 0.9395        | 1.8   | 9000  | 0.9933          |
| 0.9247        | 1.9   | 9500  | 0.9849          |
| 0.9402        | 2.0   | 10000 | 0.9763          |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0