---
license: apache-2.0
base_model: albert/albert-base-v2
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: fine_tuned_model_2
  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. -->

# fine_tuned_model_2

This model is a fine-tuned version of [albert/albert-base-v2](https://huggingface.co./albert/albert-base-v2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1547
- Accuracy: 0.9730

## 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
- num_epochs: 15

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 28   | 0.5030          | 0.9189   |
| No log        | 2.0   | 56   | 0.1776          | 0.9640   |
| No log        | 3.0   | 84   | 1.1016          | 0.2793   |
| No log        | 4.0   | 112  | 0.7159          | 0.8739   |
| No log        | 5.0   | 140  | 0.1969          | 0.9550   |
| No log        | 6.0   | 168  | 0.1550          | 0.9640   |
| No log        | 7.0   | 196  | 0.1547          | 0.9730   |
| No log        | 8.0   | 224  | 0.1794          | 0.9640   |
| No log        | 9.0   | 252  | 0.1822          | 0.9640   |
| No log        | 10.0  | 280  | 0.1845          | 0.9640   |
| No log        | 11.0  | 308  | 0.1834          | 0.9640   |
| No log        | 12.0  | 336  | 0.1827          | 0.9640   |
| No log        | 13.0  | 364  | 0.1694          | 0.9730   |
| No log        | 14.0  | 392  | 0.1714          | 0.9730   |
| No log        | 15.0  | 420  | 0.1737          | 0.9730   |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2