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IMDB-Bert-CLSModel
haihuynh/IMDB-Bert-CLSModel
IMDB-Bert-CLSModel is a text classification model from haihuynh. 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
- Jun 3, 2024
- Updated
- Jun 3, 2024
- SHA
- 4f4ce6fc
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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. -->
IMDB-Bert-CLSModel
This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.2234
- Accuracy: 0.9404
- F1: 0.9404
- Precision: 0.9405
- Recall: 0.9404
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: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.3131 | 0.6394 | 500 | 0.1899 | 0.9253 | 0.9252 | 0.9265 | 0.9252 |
| 0.174 | 1.2788 | 1000 | 0.2016 | 0.9373 | 0.9373 | 0.9373 | 0.9373 |
| 0.1268 | 1.9182 | 1500 | 0.1880 | 0.9408 | 0.9408 | 0.9411 | 0.9408 |
| 0.0807 | 2.5575 | 2000 | 0.2234 | 0.9404 | 0.9404 | 0.9405 | 0.9404 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.1.2
- Datasets 2.19.1
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- License
- apache-2.0
- Created
- Jun 3, 2024
- Updated
- Jun 3, 2024