metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: bert-nlp-project-ft-google-ds-imdb
results: []
bert-nlp-project-ft-google-ds-imdb
This model is a fine-tuned version of jestemleon/bert-nlp-project-google on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2646
- Accuracy: 0.9455
- F1: 0.9446
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 |
---|---|---|---|---|---|
0.2684 | 0.38 | 750 | 0.1850 | 0.9315 | 0.9295 |
0.2105 | 0.75 | 1500 | 0.1734 | 0.9407 | 0.9385 |
0.1767 | 1.12 | 2250 | 0.2229 | 0.9337 | 0.9346 |
0.1259 | 1.5 | 3000 | 0.2029 | 0.9423 | 0.9401 |
0.1187 | 1.88 | 3750 | 0.2554 | 0.9353 | 0.9359 |
0.0778 | 2.25 | 4500 | 0.2759 | 0.9433 | 0.9418 |
0.06 | 2.62 | 5250 | 0.2663 | 0.9443 | 0.9428 |
0.0551 | 3.0 | 6000 | 0.2646 | 0.9455 | 0.9446 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2