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