distilroberta-base-finetuned-github_cybersecurity_READMEs
This model is a fine-tuned version of distilroberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3245
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.6676 | 1.0 | 23957 | 1.5030 |
| 1.5269 | 2.0 | 47914 | 1.3645 |
| 1.4585 | 3.0 | 71871 | 1.3280 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.15.2
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Model tree for Mou11209203/distilroberta-base-finetuned-github_cybersecurity_READMEs
Base model
distilbert/distilroberta-base