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bert-IT-ticket-classifier-full
saketgarodia1/bert-IT-ticket-classifier-full
bert-IT-ticket-classifier-full is a text classification model from saketgarodia1. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Nov 16, 2025
- Updated
- Nov 16, 2025
- SHA
- a8b426fe
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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. -->
checkpoints
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.4180
- Model Preparation Time: 0.0028
- Accuracy: 0.8820
- F1 Macro: 0.8787
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: 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: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Accuracy | F1 Macro |
|---|---|---|---|---|---|---|
| 0.4105 | 1.0 | 2093 | 0.4052 | 0.0028 | 0.8644 | 0.8649 |
| 0.2791 | 2.0 | 4186 | 0.3522 | 0.0028 | 0.8832 | 0.8800 |
| 0.1854 | 3.0 | 6279 | 0.3935 | 0.0028 | 0.8859 | 0.8862 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.4.1
- Tokenizers 0.22.1
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Nov 16, 2025
- Updated
- Nov 16, 2025