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pogny_5_64_0.01
bella05/pogny_5_64_0.01
pogny_5_64_0.01 is a text classification model from bella05. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Jun 3, 2024
- Updated
- Jun 3, 2024
- SHA
- 9745f3be
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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. -->
pogny_5_64_0.01
This model is a fine-tuned version of klue/roberta-large on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.6866
- Accuracy: 0.4376
- F1: 0.2665
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: 0.01
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- 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 | F1 |
|---|---|---|---|---|---|
| 2.5357 | 1.0 | 1205 | 2.2542 | 0.4376 | 0.2665 |
| 2.2118 | 2.0 | 2410 | 2.0758 | 0.4376 | 0.2665 |
| 2.0506 | 3.0 | 3615 | 2.0029 | 0.4376 | 0.2665 |
| 1.8985 | 4.0 | 4820 | 1.9957 | 0.4376 | 0.2665 |
| 1.709 | 5.0 | 6025 | 1.6866 | 0.4376 | 0.2665 |
Framework versions
- Transformers 4.41.0
- Pytorch 2.2.2
- Datasets 2.19.1
- Tokenizers 0.19.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Created
- Jun 3, 2024
- Updated
- Jun 3, 2024