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my_awesome_model_distilbert-base-multilingual-cased_trash_translit
undefinedhorizons/my_awesome_model_distilbert-base-multilingual-cased_trash_translit
my_awesome_model_distilbert-base-multilingual-cased_trash_translit is a text classification model from undefinedhorizons. 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
- Jan 29, 2025
- Updated
- Jan 29, 2025
- SHA
- 165dc0e6
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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. -->
my_awesome_model_distilbert-base-multilingual-cased_trash_translit
This model is a fine-tuned version of distilbert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0122
- Precision: 0.9976
- Recall: 0.9976
- F1: 0.9976
- Accuracy: 0.9976
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: 16
- eval_batch_size: 16
- 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
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.1759 | 1.0 | 547 | 0.0159 | 0.9968 | 0.9968 | 0.9968 | 0.9968 |
| 0.0119 | 2.0 | 1094 | 0.0122 | 0.9976 | 0.9976 | 0.9976 | 0.9976 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
- Task
- Text Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Jan 29, 2025
- Updated
- Jan 29, 2025