|
--- |
|
license: apache-2.0 |
|
base_model: distilbert-base-uncased |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- imdb |
|
metrics: |
|
- accuracy |
|
- f1 |
|
model-index: |
|
- name: Distilbert-finetuned-IMDB |
|
results: |
|
- task: |
|
name: Text Classification |
|
type: text-classification |
|
dataset: |
|
name: imdb |
|
type: imdb |
|
config: plain_text |
|
split: test |
|
args: plain_text |
|
metrics: |
|
- name: Accuracy |
|
type: accuracy |
|
value: 0.9066666666666666 |
|
- name: F1 |
|
type: f1 |
|
value: 0.9065709953659213 |
|
--- |
|
|
|
<!-- 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. --> |
|
|
|
# Distilbert-finetuned-IMDB |
|
|
|
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the imdb dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.2736 |
|
- Accuracy: 0.9067 |
|
- F1: 0.9066 |
|
|
|
## 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: 64 |
|
- eval_batch_size: 64 |
|
- seed: 42 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 5 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
|
| 0.5314 | 1.0 | 40 | 0.3674 | 0.8453 | 0.8431 | |
|
| 0.2634 | 2.0 | 80 | 0.2709 | 0.888 | 0.8876 | |
|
| 0.1826 | 3.0 | 120 | 0.2656 | 0.8933 | 0.8930 | |
|
| 0.1433 | 4.0 | 160 | 0.2822 | 0.8893 | 0.8890 | |
|
| 0.1062 | 5.0 | 200 | 0.2736 | 0.9067 | 0.9066 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.34.1 |
|
- Pytorch 2.1.0+cu121 |
|
- Datasets 2.14.6 |
|
- Tokenizers 0.14.1 |
|
|
