|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
- f1 |
|
model-index: |
|
- name: bert-base-uncased-ft-imdb |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# bert-base-uncased-ft-imdb |
|
|
|
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the [steciuk/imdb](https://huggingface.co/datasets/steciuk/imdb) dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.2556 |
|
- Accuracy: 0.945 |
|
- F1: 0.9441 |
|
|
|
and flowing results on the testing set: |
|
- Accuracy: 0.9417 |
|
- F1: 0.9431 |
|
|
|
## 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 | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
|
| 0.2943 | 0.38 | 750 | 0.1877 | 0.9257 | 0.9226 | |
|
| 0.2133 | 0.75 | 1500 | 0.1806 | 0.9375 | 0.9347 | |
|
| 0.1811 | 1.12 | 2250 | 0.1783 | 0.9443 | 0.9434 | |
|
| 0.1274 | 1.5 | 3000 | 0.2072 | 0.942 | 0.9400 | |
|
| 0.1177 | 1.88 | 3750 | 0.2737 | 0.9325 | 0.9336 | |
|
| 0.0817 | 2.25 | 4500 | 0.2706 | 0.9435 | 0.9420 | |
|
| 0.0644 | 2.62 | 5250 | 0.2630 | 0.9447 | 0.9434 | |
|
| 0.0604 | 3.0 | 6000 | 0.2556 | 0.945 | 0.9441 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.25.1 |
|
- Pytorch 1.13.0+cu116 |
|
- Datasets 2.7.1 |
|
- Tokenizers 0.13.2 |
|
|
