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deberta-v2-xxl-imdb-v0.1
dfurman/deberta-v2-xxl-imdb-v0.1
deberta-v2-xxl-imdb-v0.1 is a text classification model from dfurman. 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
- Mar 31, 2024
- Updated
- Mar 31, 2024
- SHA
- e863b560
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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. -->
deberta-v2-xxl-imdb-v0.1
This model is a fine-tuned version of microsoft/deberta-v2-xxlarge on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1684
- Accuracy: 0.9708
- F1: 0.9710
- Precision: 0.9669
- Recall: 0.9750
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: 2e-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: cosine
- lr_scheduler_warmup_ratio: 0.2
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.0607 | 1.0 | 6250 | 0.2211 | 0.9616 | 0.9611 | 0.9738 | 0.9487 |
| 0.3056 | 2.0 | 12500 | 0.1855 | 0.9662 | 0.9658 | 0.9770 | 0.9548 |
| 0.0502 | 3.0 | 18750 | 0.1790 | 0.9696 | 0.9697 | 0.9668 | 0.9726 |
| 0.2397 | 4.0 | 25000 | 0.1741 | 0.9705 | 0.9707 | 0.9634 | 0.9782 |
| 0.1207 | 5.0 | 31250 | 0.1662 | 0.9708 | 0.9708 | 0.9713 | 0.9702 |
| 0.0637 | 6.0 | 37500 | 0.1718 | 0.9707 | 0.9707 | 0.9710 | 0.9703 |
| 0.3034 | 7.0 | 43750 | 0.1687 | 0.9706 | 0.9707 | 0.9670 | 0.9745 |
| 0.0013 | 8.0 | 50000 | 0.1683 | 0.9708 | 0.9709 | 0.9668 | 0.9751 |
| 0.0543 | 9.0 | 56250 | 0.1683 | 0.9707 | 0.9708 | 0.9667 | 0.9750 |
| 0.1015 | 10.0 | 62500 | 0.1684 | 0.9708 | 0.9710 | 0.9669 | 0.9750 |
Framework versions
- Transformers 4.39.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- deberta-v2
- License
- mit
- Created
- Mar 31, 2024
- Updated
- Mar 31, 2024