| --- |
| library_name: transformers |
| license: cc-by-4.0 |
| base_model: mideind/IceBERT-large |
| tags: |
| - generated_from_trainer |
| metrics: |
| - accuracy |
| - f1 |
| model-index: |
| - name: payment-codes-classifier-dev |
| results: [] |
| --- |
| |
| <!-- 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. --> |
|
|
| # payment-codes-classifier-dev |
|
|
| This model is a fine-tuned version of [mideind/IceBERT-large](https://huggingface.co/mideind/IceBERT-large) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.0475 |
| - Accuracy: 0.9795 |
| - F1: 0.9777 |
|
|
| ## Model description |
|
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| More information needed |
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|
| ## Intended uses & limitations |
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|
| More information needed |
|
|
| ## Training and evaluation data |
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|
| More information needed |
|
|
| ## Training procedure |
|
|
| ### Training hyperparameters |
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|
| The following hyperparameters were used during training: |
| - learning_rate: 3e-05 |
| - train_batch_size: 16 |
| - eval_batch_size: 16 |
| - 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_ratio: 0.06 |
| - num_epochs: 4 |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
| | 0.1007 | 1.0 | 1413 | 0.0601 | 0.9728 | 0.9654 | |
| | 0.0494 | 2.0 | 2826 | 0.0715 | 0.9710 | 0.9643 | |
| | 0.0316 | 3.0 | 4239 | 0.0549 | 0.9759 | 0.9718 | |
| | 0.0141 | 4.0 | 5652 | 0.0540 | 0.9791 | 0.9769 | |
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| ### Framework versions |
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|
| - Transformers 4.55.4 |
| - Pytorch 2.8.0 |
| - Datasets 4.3.0 |
| - Tokenizers 0.21.4 |
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|
