finetuned-distilbert-adult-content-catgorization
This model is a fine-tuned version of 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 |
- Downloads last month
- 122
This model does not have enough activity to be deployed to Inference API (serverless) yet.
Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.