|
|
--- |
|
|
license: apache-2.0 |
|
|
base_model: bert-base-uncased |
|
|
tags: |
|
|
- generated_from_trainer |
|
|
metrics: |
|
|
- f1 |
|
|
model-index: |
|
|
- name: bert-finetuned-imdb-sentiment |
|
|
results: |
|
|
- task: |
|
|
type: text-classification |
|
|
dataset: |
|
|
type: imdb |
|
|
name: imdb |
|
|
split: test |
|
|
metrics: |
|
|
- name: f1 |
|
|
type: f1 |
|
|
value: 0.888 |
|
|
verified: false |
|
|
datasets: |
|
|
- imdb |
|
|
--- |
|
|
|
|
|
<!-- 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-finetuned-imdb-sentiment |
|
|
|
|
|
This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an imdb dataset. |
|
|
It achieves the following results on the evaluation set: |
|
|
- Loss: 0.3405 |
|
|
- F1: 0.9171 |
|
|
|
|
|
## 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: 5e-05 |
|
|
- train_batch_size: 8 |
|
|
- eval_batch_size: 8 |
|
|
- seed: 42 |
|
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
|
- lr_scheduler_type: linear |
|
|
- num_epochs: 3.0 |
|
|
|
|
|
### Training results |
|
|
|
|
|
| Training Loss | Epoch | Step | Validation Loss | F1 | |
|
|
|:-------------:|:-----:|:----:|:---------------:|:------:| |
|
|
| 0.2966 | 1.0 | 3125 | 0.2795 | 0.8854 | |
|
|
| 0.1681 | 2.0 | 6250 | 0.2801 | 0.9118 | |
|
|
| 0.0724 | 3.0 | 9375 | 0.3405 | 0.9171 | |
|
|
|
|
|
|
|
|
### Framework versions |
|
|
|
|
|
- Transformers 4.40.0 |
|
|
- Pytorch 2.2.1+cu121 |
|
|
- Datasets 2.19.0 |
|
|
- Tokenizers 0.19.1 |
|
|
|
