distilroberta-base-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: 1.3952
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: 1e-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 |
|---|---|---|---|
| 1.5979 | 1.0 | 24070 | 1.4973 |
| 1.4937 | 2.0 | 48140 | 1.4142 |
| 1.4409 | 3.0 | 72210 | 1.3977 |
Framework versions
- Transformers 4.40.0.dev0
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.15.1
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Model tree for clarapan/distilroberta-base-github_cybersecurity_READMEs
Base model
distilbert/distilroberta-base