---
license: apache-2.0
base_model: LiYuan/amazon-review-sentiment-analysis
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: yelp-review-sentiment-analysis-1
  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. -->

# yelp-review-sentiment-analysis-1

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: 0.8763
- Accuracy: 0.6324
- F1: 0.6303

## 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
- lr_scheduler_warmup_steps: 200
- num_epochs: 2
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
| 0.9292        | 1.0   | 625  | 0.8799          | 0.6132   | 0.6181 |
| 0.7542        | 2.0   | 1250 | 0.8763          | 0.6324   | 0.6303 |


### Framework versions

- Transformers 4.42.3
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1