---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: geoplantbert_text_classification_model
  results: []
---

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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: 1.9785
- Accuracy: 0.4472

## 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: 8
- eval_batch_size: 8
- 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 |
|:-------------:|:-----:|:------:|:---------------:|:--------:|
| 2.0838        | 1.0   | 34200  | 2.1737          | 0.4064   |
| 1.8703        | 2.0   | 68400  | 2.0177          | 0.4362   |
| 1.8733        | 3.0   | 102600 | 1.9902          | 0.4368   |
| 1.6634        | 4.0   | 136800 | 1.9717          | 0.4455   |
| 1.6316        | 5.0   | 171000 | 1.9785          | 0.4472   |


### Framework versions

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