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# geoplantbert_text_classification_model

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 4.2249
- Accuracy: 0.0948

## 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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 123
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Accuracy |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 4.1776        | 1.0   | 68400  | 4.2204          | 0.0948   |
| 4.2058        | 2.0   | 136800 | 4.2118          | 0.0948   |
| 4.1949        | 3.0   | 205200 | 4.2219          | 0.0948   |
| 4.1297        | 4.0   | 273600 | 4.2298          | 0.0948   |
| 4.2056        | 5.0   | 342000 | 4.2249          | 0.0948   |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.1+cu121
- Datasets 2.15.0
- Tokenizers 0.15.0

{"tags": ["generated_from_trainer"], "metrics": ["accuracy"], "model-index": [{"name": "geoplantbert_text_classification_model", "results": []}]}
transformers safetensors bert text-classification generated_from_trainer autotrain_compatible endpoints_compatible region:us