metadata
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- accuracy
- f1
model-index:
- name: bert-nlp-project-ft-imdb-ds-news
results: []
bert-nlp-project-ft-imdb-ds-news
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: 0.4268
- Accuracy: 0.8984
- F1: 0.8780
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 |
---|---|---|---|---|---|
0.4318 | 0.37 | 120 | 0.3162 | 0.8828 | 0.8598 |
0.3094 | 0.75 | 240 | 0.2958 | 0.8891 | 0.8678 |
0.2667 | 1.12 | 360 | 0.3354 | 0.8984 | 0.8776 |
0.2074 | 1.5 | 480 | 0.3459 | 0.8922 | 0.8691 |
0.1805 | 1.87 | 600 | 0.3802 | 0.8969 | 0.8769 |
0.132 | 2.24 | 720 | 0.3858 | 0.9 | 0.8779 |
0.1051 | 2.62 | 840 | 0.4174 | 0.8969 | 0.8755 |
0.1074 | 2.99 | 960 | 0.4268 | 0.8984 | 0.8780 |
Framework versions
- Transformers 4.25.1
- Pytorch 1.13.0+cu116
- Datasets 2.8.0
- Tokenizers 0.13.2