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5imdb_roberta_large
Siki-77/5imdb_roberta_large
5imdb_roberta_large is a text classification model from Siki-77. 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
- Mar 16, 2024
- Updated
- Mar 16, 2024
- SHA
- cb144240
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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. -->
5imdb_roberta_large
This model is a fine-tuned version of roberta-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1086
- Accuracy: 0.9612
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: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- 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 |
|---|---|---|---|---|
| No log | 1.0 | 390 | 0.1466 | 0.9483 |
| 0.1564 | 2.0 | 781 | 0.1086 | 0.9612 |
| 0.0699 | 3.0 | 1172 | 0.1622 | 0.9610 |
| 0.0396 | 4.0 | 1563 | 0.1835 | 0.9628 |
| 0.0396 | 4.99 | 1950 | 0.1877 | 0.9629 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Mar 16, 2024
- Updated
- Mar 16, 2024