---
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
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# 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

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: 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 |


### Framework versions

- Transformers 4.55.4
- Pytorch 2.8.0
- Datasets 4.3.0
- Tokenizers 0.21.4