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KANLlama_RottenTomatoes
SE6446/KANLlama_RottenTomatoes
KANLlama_RottenTomatoes is a text classification model from SE6446. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- kanllama
- Access
- Public
- Created
- May 22, 2024
- Updated
- May 24, 2024
- SHA
- 79940f8d
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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. -->
KANLlama_RottenTomatoes
It achieves the following results on the evaluation set:
- Loss: 0.5279
- Accuracy: 0.7467
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: 0.001
- train_batch_size: 20
- eval_batch_size: 20
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.6626 | 1.0 | 427 | 0.5694 | 0.7139 |
| 0.4869 | 2.0 | 854 | 0.5279 | 0.7467 |
| 0.3559 | 3.0 | 1281 | 0.5713 | 0.7486 |
| 0.2279 | 4.0 | 1708 | 0.7230 | 0.7458 |
Framework versions
- Transformers 4.41.0
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- kanllama
- License
- apache-2.0
- Created
- May 22, 2024
- Updated
- May 24, 2024