bart-detox-model
This model is a fine-tuned version of facebook/bart-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.8918
- Rouge1: 81.7424
- Rouge2: 71.0507
- Rougel: 81.3685
- Rougelsum: 81.4122
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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 | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 0.9712 | 1.0 | 1111 | 0.9255 | 81.4989 | 70.6471 | 81.1259 | 81.1486 |
| 0.9267 | 2.0 | 2222 | 0.8988 | 81.6725 | 70.8808 | 81.2986 | 81.32 |
| 0.8354 | 3.0 | 3333 | 0.8918 | 81.7424 | 71.0507 | 81.3685 | 81.4122 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
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Base model
facebook/bart-base