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roberta-base_refusal
atlasshrugg/roberta-base_refusal
roberta-base_refusal is a machine learning model from atlasshrugg. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Aug 11, 2024
- Updated
- Aug 14, 2024
- SHA
- 17e022c8
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
roberta-base_refusal
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0104
- Accuracy: 0.9981
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: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0002 | 0.2776 | 500 | 0.0159 | 0.9975 |
| 0.0011 | 0.5552 | 1000 | 0.0372 | 0.9931 |
| 0.0376 | 0.8329 | 1500 | 0.0214 | 0.9963 |
| 0.038 | 1.1105 | 2000 | 0.0147 | 0.9981 |
| 0.0465 | 1.3881 | 2500 | 0.0157 | 0.9975 |
| 0.0495 | 1.6657 | 3000 | 0.0096 | 0.9988 |
| 0.0011 | 1.9434 | 3500 | 0.0136 | 0.9981 |
| 0.0004 | 2.2210 | 4000 | 0.0153 | 0.9981 |
| 0.0007 | 2.4986 | 4500 | 0.0123 | 0.9981 |
| 0.0004 | 2.7762 | 5000 | 0.0362 | 0.9956 |
| 0.044 | 3.0539 | 5500 | 0.0176 | 0.9975 |
| 0.0015 | 3.3315 | 6000 | 0.0142 | 0.9975 |
| 0.0004 | 3.6091 | 6500 | 0.0113 | 0.9981 |
| 0.0004 | 3.8867 | 7000 | 0.0227 | 0.9956 |
| 0.0436 | 4.1644 | 7500 | 0.0129 | 0.9969 |
| 0.0085 | 4.4420 | 8000 | 0.0102 | 0.9988 |
| 0.0003 | 4.7196 | 8500 | 0.0102 | 0.9988 |
| 0.0002 | 4.9972 | 9000 | 0.0104 | 0.9981 |
Framework versions
- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- roberta
- License
- mit
- Created
- Aug 11, 2024
- Updated
- Aug 14, 2024