metadata
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: sentiment-polish-gpt2-small
results: []
license: mit
language:
- pl
sentiment-polish-gpt2-small
This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4659
- Accuracy: 0.9627
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4049 | 1.0 | 3284 | 0.3351 | 0.8792 |
| 0.1885 | 2.0 | 6568 | 0.2625 | 0.9218 |
| 0.1182 | 3.0 | 9852 | 0.2583 | 0.9419 |
| 0.0825 | 4.0 | 13136 | 0.2886 | 0.9482 |
| 0.0586 | 5.0 | 16420 | 0.3343 | 0.9538 |
| 0.034 | 6.0 | 19704 | 0.3734 | 0.9595 |
| 0.0288 | 7.0 | 22988 | 0.4125 | 0.9599 |
| 0.0185 | 8.0 | 26273 | 0.4262 | 0.9626 |
| 0.0069 | 9.0 | 29557 | 0.4529 | 0.9622 |
| 0.0059 | 10.0 | 32840 | 0.4659 | 0.9627 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0