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my_finetune_wnut_model
itsmeAman03/my_finetune_wnut_model
my_finetune_wnut_model is a token classification model from itsmeAman03. Use it when you need labels on individual words, such as names. 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
- Token Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- distilbert
- Access
- Public
- Created
- Oct 25, 2025
- Updated
- Oct 25, 2025
- SHA
- c5363b7c
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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_finetune_wnut_model
This model is a fine-tuned version of stevhliu/my_awesome_wnut_model on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3835
- Precision: 0.3242
- Recall: 0.4958
- F1: 0.3921
- Accuracy: 0.9249
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: 32
- eval_batch_size: 32
- 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.1011 | 1.0 | 74 | 0.2801 | 0.3568 | 0.4930 | 0.4140 | 0.9305 |
| 0.0748 | 2.0 | 148 | 0.3054 | 0.3325 | 0.5014 | 0.3999 | 0.9256 |
| 0.0515 | 3.0 | 222 | 0.3094 | 0.3517 | 0.4903 | 0.4096 | 0.9307 |
| 0.0507 | 4.0 | 296 | 0.3446 | 0.3149 | 0.4921 | 0.3841 | 0.9234 |
| 0.0349 | 5.0 | 370 | 0.3570 | 0.3357 | 0.4921 | 0.3991 | 0.9272 |
| 0.0329 | 6.0 | 444 | 0.3661 | 0.3189 | 0.4995 | 0.3893 | 0.9237 |
| 0.0278 | 7.0 | 518 | 0.3730 | 0.3256 | 0.4930 | 0.3922 | 0.9253 |
| 0.0228 | 8.0 | 592 | 0.3723 | 0.3276 | 0.4912 | 0.3930 | 0.9253 |
| 0.0216 | 9.0 | 666 | 0.3770 | 0.3302 | 0.4921 | 0.3952 | 0.9263 |
| 0.0204 | 10.0 | 740 | 0.3835 | 0.3242 | 0.4958 | 0.3921 | 0.9249 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Task
- Token Classification
- Library
- transformers
- Type
- distilbert
- License
- apache-2.0
- Created
- Oct 25, 2025
- Updated
- Oct 25, 2025