|
--- |
|
license: other |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: finetuned-distilbert-adult-content-detection |
|
results: [] |
|
--- |
|
|
|
### finetuned-distilbert-adult-content-catgorization |
|
|
|
This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the adult_content dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.0065 |
|
- F1_score(weighted): 0.90 |
|
### Model description |
|
More information needed |
|
### Intended uses & limitations |
|
More information needed |
|
### Training and evaluation data |
|
The model was trained on some subset of the adult_content dataset and it was validated on the remaining subset of the data |
|
### Training procedure |
|
More information needed |
|
### Training hyperparameters |
|
The following hyperparameters were used during training: |
|
- learning_rate: 5e-5 |
|
- train_batch_size: 5 |
|
- eval_batch_size: 5 |
|
- seed: 17 |
|
- optimizer: AdamW(lr=1e-5 and epsilon=1e-08) |
|
- lr_scheduler_type: linear |
|
- lr_scheduler_warmup_steps: 0 |
|
- num_epochs: 2 |
|
### Training results |
|
| Training Loss | Epoch | Validation Loss | f1 score | |
|
|:-------------:|:-----:|:---------------: |:------:| |
|
| 0.1414 | 1.0 | 0.4585 | 0.9058 | |
|
| 0.1410 | 2.0 | 0.4584 | 0.9058 | |
|
|
