---
library_name: transformers
license: apache-2.0
base_model: distilbert/distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: locations_classifier
  results: []
---

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

This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0449
- Accuracy: 0.7895

## 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: 0.0002
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.3069        | 1.0   | 10   | 1.1071          | 0.5263   |
| 0.9629        | 2.0   | 20   | 0.9280          | 0.6316   |
| 0.5455        | 3.0   | 30   | 1.3876          | 0.5263   |
| 0.3392        | 4.0   | 40   | 1.0209          | 0.8421   |
| 0.2142        | 5.0   | 50   | 1.0449          | 0.7895   |


### Framework versions

- Transformers 4.50.0
- Pytorch 2.6.0
- Datasets 3.4.1
- Tokenizers 0.21.1