---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: _finetuned-finetuned-localization
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# _finetuned-finetuned-localization

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4382
- Accuracy: 0.436

## 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: 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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.1122        | 1.0   | 2500 | 1.1513          | 0.4287   |
| 1.0035        | 2.0   | 5000 | 1.2395          | 0.4507   |
| 0.7167        | 3.0   | 7500 | 1.4382          | 0.436    |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.0
- Datasets 2.12.0
- Tokenizers 0.13.3