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RoBERTa-CompareTransformers-Imdb
nosnelmil/RoBERTa-CompareTransformers-Imdb
RoBERTa-CompareTransformers-Imdb is a text classification model from nosnelmil. 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
- roberta
- Access
- Public
- Created
- Nov 2, 2023
- Updated
- Nov 2, 2023
- SHA
- dc7ab357
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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. -->
results
This model is a fine-tuned version of roberta-base on the imdb dataset. It achieves the following results on the evaluation set:
- Loss: 0.2691
- Accuracy: 0.9287
- Precision: 0.9287
- Recall: 0.9287
- F1: 0.9287
- Auroc: 0.9772
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: 5e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | Auroc |
|---|---|---|---|---|---|---|---|---|
| 0.1764 | 0.46 | 500 | 0.2698 | 0.9044 | 0.9044 | 0.9044 | 0.9044 | 0.9738 |
| 0.3348 | 0.91 | 1000 | 0.2755 | 0.9117 | 0.9117 | 0.9117 | 0.9117 | 0.9686 |
| 0.1478 | 1.37 | 1500 | 0.3275 | 0.9109 | 0.9109 | 0.9109 | 0.9109 | 0.9771 |
| 0.2051 | 1.83 | 2000 | 0.2575 | 0.9309 | 0.9309 | 0.9309 | 0.9309 | 0.9793 |
| 0.1435 | 2.29 | 2500 | 0.3140 | 0.9245 | 0.9245 | 0.9245 | 0.9245 | 0.9783 |
| 0.1425 | 2.74 | 3000 | 0.2691 | 0.9287 | 0.9287 | 0.9287 | 0.9287 | 0.9772 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Nov 2, 2023
- Updated
- Nov 2, 2023