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
- 35
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.