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output_v3
lemmein/output_v3
output_v3 is a text classification model from lemmein. 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
- deberta-v2
- Access
- Public
- Created
- May 3, 2024
- Updated
- May 3, 2024
- SHA
- cdc1386e
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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. -->
output_v3
This model is a fine-tuned version of microsoft/deberta-v3-small on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.8502
- Qwk: 0.8024
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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Qwk |
|---|---|---|---|---|
| 0.8896 | 1.0 | 1731 | 0.8665 | 0.7900 |
| 0.8217 | 2.0 | 3462 | 0.9017 | 0.7786 |
| 0.7622 | 3.0 | 5193 | 0.8461 | 0.8013 |
| 0.6973 | 4.0 | 6924 | 0.8502 | 0.8024 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- deberta-v2
- License
- mit
- Created
- May 3, 2024
- Updated
- May 3, 2024