---
tags:
- generated_from_trainer
datasets:
- sst2
model-index:
- name: TinyBERT_SST2
  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. -->

# TinyBERT_SST2

This model is a TinyBERT_General_4L_312D fine-tuned version on the SST-2 dataset.

## Model description

Follows the TinyBERT architecture.

## Intended uses & limitations

Purpose : to perform sentiment-classification on the SST-2 dataset.

### 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: 2

### Training results



### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.14.7
- Tokenizers 0.15.0