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mega-base-wikitext-finetuned-KAGGLE
agarc15/mega-base-wikitext-finetuned-KAGGLE
mega-base-wikitext-finetuned-KAGGLE is a text classification model from agarc15. 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
- mega
- Access
- Public
- Created
- Aug 23, 2023
- Updated
- Aug 23, 2023
- SHA
- ed32949d
Try a prompt
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. -->
mega-base-wikitext-finetuned-KAGGLE
This model is a fine-tuned version of mnaylor/mega-base-wikitext on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.9914
- Accuracy: 0.8207
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 25
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 11 | 2.1216 | 0.4552 |
| No log | 2.0 | 22 | 1.9996 | 0.8207 |
| No log | 3.0 | 33 | 1.8810 | 0.8138 |
| No log | 4.0 | 44 | 1.7691 | 0.8138 |
| No log | 5.0 | 55 | 1.6643 | 0.8138 |
| No log | 6.0 | 66 | 1.5688 | 0.8138 |
| No log | 7.0 | 77 | 1.4820 | 0.8138 |
| No log | 8.0 | 88 | 1.4057 | 0.8138 |
| No log | 9.0 | 99 | 1.3398 | 0.8138 |
| No log | 10.0 | 110 | 1.2837 | 0.8138 |
| No log | 11.0 | 121 | 1.2361 | 0.8138 |
| No log | 12.0 | 132 | 1.1960 | 0.8138 |
| No log | 13.0 | 143 | 1.1628 | 0.8138 |
| No log | 14.0 | 154 | 1.1352 | 0.8138 |
| No log | 15.0 | 165 | 1.1129 | 0.8138 |
| No log | 16.0 | 176 | 1.0944 | 0.8138 |
| No log | 17.0 | 187 | 1.0790 | 0.8138 |
| No log | 18.0 | 198 | 1.0664 | 0.8138 |
| No log | 19.0 | 209 | 1.0561 | 0.8138 |
| No log | 20.0 | 220 | 1.0480 | 0.8138 |
| No log | 21.0 | 231 | 1.0416 | 0.8138 |
| No log | 22.0 | 242 | 1.0368 | 0.8138 |
| No log | 23.0 | 253 | 1.0334 | 0.8138 |
| No log | 24.0 | 264 | 1.0314 | 0.8138 |
| No log | 25.0 | 275 | 1.0307 | 0.8138 |
Framework versions
- Transformers 4.32.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
- Task
- Text Classification
- Library
- transformers
- Type
- mega
- License
- apache-2.0
- Created
- Aug 23, 2023
- Updated
- Aug 23, 2023