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models-moved
wicakson0/models-moved
models-moved is a text classification model from wicakson0. 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
- roberta
- Access
- Public
- Created
- Sep 19, 2024
- Updated
- Sep 20, 2024
- SHA
- 3da51f85
Try a prompt
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. -->
models
This model is a fine-tuned version of distilbert/distilroberta-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3060
- Accuracy: 0.8836
- F1: 0.8849
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: 256
- eval_batch_size: 256
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| No log | 1.0 | 526 | 0.3006 | 0.8711 | 0.8729 |
| No log | 2.0 | 1052 | 0.2966 | 0.8718 | 0.8742 |
| No log | 3.0 | 1578 | 0.2912 | 0.8806 | 0.8824 |
| No log | 4.0 | 2104 | 0.2958 | 0.8829 | 0.8843 |
| No log | 5.0 | 2630 | 0.3060 | 0.8836 | 0.8849 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu118
- Datasets 2.21.0
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- apache-2.0
- Created
- Sep 19, 2024
- Updated
- Sep 20, 2024