---
license: apache-2.0
base_model: google/bert_uncased_L-2_H-128_A-2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: tiny-bert-sst2-distilled
  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. -->

# tiny-bert-sst2-distilled

This model is a fine-tuned version of [google/bert_uncased_L-2_H-128_A-2](https://huggingface.co/google/bert_uncased_L-2_H-128_A-2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.9648
- Accuracy: 0.8245

## 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: 0.0002628217875157273
- train_batch_size: 128
- eval_batch_size: 128
- seed: 33
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 2.5717        | 1.0   | 527  | 2.0086          | 0.8073   |
| 1.2017        | 2.0   | 1054 | 1.8121          | 0.8222   |
| 0.9081        | 3.0   | 1581 | 1.8837          | 0.8177   |
| 0.7559        | 4.0   | 2108 | 1.9089          | 0.8234   |
| 0.6694        | 5.0   | 2635 | 1.9749          | 0.8177   |
| 0.6147        | 6.0   | 3162 | 1.9445          | 0.8257   |
| 0.5729        | 7.0   | 3689 | 1.9648          | 0.8245   |


### Framework versions

- Transformers 4.37.1
- Pytorch 2.0.1
- Datasets 2.16.1
- Tokenizers 0.15.1