toxic-spans-bert-small
This model is a fine-tuned version of lyeonii/bert-small on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6346
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: 39
- eval_batch_size: 78
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 78
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.6622 | 0.9961 | 128 | 0.6429 |
| 0.6179 | 2.0 | 257 | 0.6400 |
| 0.609 | 2.9883 | 384 | 0.6346 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu118
- Datasets 3.1.0
- Tokenizers 0.20.3
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Base model
lyeonii/bert-small