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results
ngocmaichu/results
results is a text classification model from ngocmaichu. 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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.safetensors499 MB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- License
- mit
- Model type
- roberta
- Access
- Public
- Created
- Apr 28, 2025
- Updated
- May 2, 2025
- SHA
- bbcc3826
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. -->
results
This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0001
- Model Preparation Time: 0.0032
- Validation accuracy: 1.0
- Validation precision: 1.0
- Validation recall: 1.0
- Validation f1 Score: 1.0
- Validation tp: 4283
- Validation fp: 0
- Validation fn: 0
- Validation tn: 4697
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: 0.0001
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Validation accuracy | Validation precision | Validation recall | Validation f1 Score | Validation tp | Validation fp | Validation fn | Validation tn |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.0054 | 1.0 | 842 | 0.0033 | 0.0032 | 0.9997 | 1.0 | 0.9993 | 0.9996 | 4280 | 0 | 3 | 4697 |
| 0.0001 | 2.0 | 1684 | 0.0001 | 0.0032 | 1.0 | 1.0 | 1.0 | 1.0 | 4283 | 0 | 0 | 4697 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.1
- Tokenizers 0.21.1
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- License
- mit
- Created
- Apr 28, 2025
- Updated
- May 2, 2025