metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: bert-nlp-project-ft-imdb-ds-google
results: []
bert-nlp-project-ft-imdb-ds-google
This model is a fine-tuned version of jestemleon/bert-nlp-project-imdb on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3097
- Accuracy: 0.9124
- F1: 0.9197
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.3517 | 0.37 | 196 | 0.2556 | 0.9105 | 0.9187 |
| 0.27 | 0.75 | 392 | 0.2369 | 0.9038 | 0.9105 |
| 0.2246 | 1.12 | 588 | 0.2630 | 0.9133 | 0.9205 |
| 0.1869 | 1.49 | 784 | 0.2885 | 0.9038 | 0.9071 |
| 0.1696 | 1.86 | 980 | 0.2811 | 0.9152 | 0.9233 |
| 0.1474 | 2.24 | 1176 | 0.2918 | 0.9190 | 0.9243 |
| 0.1187 | 2.61 | 1372 | 0.3045 | 0.9133 | 0.9212 |
| 0.1077 | 2.98 | 1568 | 0.3097 | 0.9124 | 0.9197 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2