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bert-base-cased-finetuned-cora
Akshayxx/bert-base-cased-finetuned-cora
bert-base-cased-finetuned-cora is a text classification model from Akshayxx. 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
- bert
- Access
- Public
- Created
- Apr 14, 2024
- Updated
- Apr 14, 2024
- SHA
- da6ec209
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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. -->
bert-base-cased-finetuned-cora
This model is a fine-tuned version of bert-base-cased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6632
- Accuracy: 0.8307
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: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.3885 | 1.0 | 221 | 0.8139 | 0.7743 |
| 0.6693 | 2.0 | 442 | 0.6425 | 0.7946 |
| 0.4111 | 3.0 | 663 | 0.5891 | 0.8284 |
| 0.2572 | 4.0 | 884 | 0.6199 | 0.8307 |
| 0.1655 | 5.0 | 1105 | 0.6632 | 0.8307 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Apr 14, 2024
- Updated
- Apr 14, 2024