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my_awesome_model1
erwinyonata/my_awesome_model1
my_awesome_model1 is a text classification model from erwinyonata. 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
- distilbert
- Access
- Public
- Created
- Oct 11, 2025
- Updated
- Oct 13, 2025
- SHA
- 7abc8b51
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. -->
my_awesome_model1
This model is a fine-tuned version of distilbert/distilbert-base-uncased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.4293
- Accuracy: 0.8298
- Precision: 0.8356
- Recall: 0.8298
- F1: 0.8316
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: 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
- lr_scheduler_warmup_steps: 500
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.4281 | 1.0 | 5400 | 0.4332 | 0.8298 | 0.8356 | 0.8298 | 0.8316 |
| 0.4342 | 2.0 | 10800 | 0.4275 | 0.8298 | 0.8356 | 0.8298 | 0.8316 |
| 0.4284 | 3.0 | 16200 | 0.4293 | 0.8298 | 0.8356 | 0.8298 | 0.8316 |
Framework versions
- Transformers 4.57.0
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Oct 11, 2025
- Updated
- Oct 13, 2025