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binary-cs-curriculum-classifier-v1
anthony-eden/binary-cs-curriculum-classifier-v1
binary-cs-curriculum-classifier-v1 is a text classification model from anthony-eden. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Dec 25, 2023
- Updated
- Dec 27, 2023
- SHA
- 5ab3e661
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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. -->
binary-cs-curriculum-classifier-v1
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0001
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 30
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.137 | 1.0 | 40 | 0.0012 |
| 0.0004 | 2.0 | 80 | 0.0001 |
| 0.0005 | 3.0 | 120 | 0.0001 |
| 0.0002 | 4.0 | 160 | 0.0001 |
| 0.0002 | 5.0 | 200 | 0.0001 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.0.post101
- Datasets 2.14.6
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Dec 25, 2023
- Updated
- Dec 27, 2023