---
base_model: Siki-77/sbert_yelp2class
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: sbert_yelp_imdb
  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. -->

# sbert_yelp_imdb

This model is a fine-tuned version of [Siki-77/sbert_yelp2class](https://huggingface.co/Siki-77/sbert_yelp2class) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1311
- Accuracy: 0.9536

## 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
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.161         | 1.0   | 781  | 0.1311          | 0.9536   |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2