---
base_model: hf-internal-testing/tiny-albert
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: results
  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. -->

# results

This model is a fine-tuned version of [hf-internal-testing/tiny-albert](https://huggingface.co/hf-internal-testing/tiny-albert) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1315
- Accuracy: 0.96

## 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: 0.001
- train_batch_size: 24
- eval_batch_size: 24
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 25.0
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.6937        | 0.1   | 25   | 0.6927          | 0.5115   |
| 0.6911        | 0.2   | 50   | 0.6770          | 0.613    |
| 0.4988        | 0.3   | 75   | 0.3574          | 0.886    |
| 0.2604        | 0.4   | 100  | 0.1720          | 0.9525   |
| 0.1758        | 0.5   | 125  | 0.1787          | 0.9435   |
| 0.1964        | 0.6   | 150  | 0.1327          | 0.9615   |
| 0.1637        | 0.7   | 175  | 0.1269          | 0.9635   |
| 0.1453        | 0.8   | 200  | 0.1538          | 0.9565   |
| 0.1563        | 0.9   | 225  | 0.1508          | 0.9575   |
| 0.1657        | 1.0   | 250  | 0.1315          | 0.96     |


### Framework versions

- Transformers 4.40.0
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1