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Esp-advanced-ML-keras
Sergei1222/Esp-advanced-ML-keras
Esp-advanced-ML-keras is a text classification model from Sergei1222. 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
- Aug 20, 2025
- Updated
- Aug 22, 2025
- SHA
- 5d0a2f14
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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. -->
Esp-advanced-ML-keras
This model is a fine-tuned version of distilroberta-base on the datasetX dataset. It achieves the following results on the evaluation set:
- Loss: 0.4480
- Accuracy: 0.8309
- F1: 0.8761
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.5215 | 1.0893 | 500 | 0.4480 | 0.8309 | 0.8761 |
| 0.3642 | 2.1786 | 1000 | 0.6294 | 0.8627 | 0.8989 |
| 0.2219 | 3.2680 | 1500 | 0.8665 | 0.8407 | 0.8870 |
| 0.1326 | 4.3573 | 2000 | 0.7951 | 0.8627 | 0.8996 |
Framework versions
- Transformers 4.55.2
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.21.4
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- apache-2.0
- Created
- Aug 20, 2025
- Updated
- Aug 22, 2025