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bert-base-cased-fine-tuned-sst2
ckandrew04/bert-base-cased-fine-tuned-sst2
bert-base-cased-fine-tuned-sst2 is a text classification model from ckandrew04. 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
- Dec 10, 2024
- Updated
- Dec 10, 2024
- SHA
- 0b9373a4
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Base models
Datasets
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-fine-tuned-sst2
This model is a fine-tuned version of bert-base-cased on nyu-mll/glue sst2 dataset. It achieves the following results on the evaluation set:
- Loss: 0.4606
- Accuracy: 0.9209
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: 16
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1111 | 1.0 | 4210 | 0.3592 | 0.9106 |
| 0.0726 | 2.0 | 8420 | 0.4517 | 0.9106 |
| 0.0396 | 3.0 | 12630 | 0.4606 | 0.9209 |
Framework versions
- Transformers 4.46.3
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Dec 10, 2024
- Updated
- Dec 10, 2024