---
library_name: transformers
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: banking-using-mybert
  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. -->

# banking-using-mybert

This model was trained from scratch on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3440
- F1: 0.9090
- Accuracy: 0.9091

## 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: 5e-05
- train_batch_size: 16
- eval_batch_size: 8
- 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|
| 1.0905        | 1.0   | 626  | 0.8475          | 0.8018 | 0.8052   |
| 0.5429        | 2.0   | 1252 | 0.5092          | 0.8707 | 0.8708   |
| 0.3192        | 3.0   | 1878 | 0.4176          | 0.8885 | 0.8893   |
| 0.1803        | 4.0   | 2504 | 0.3511          | 0.9072 | 0.9068   |
| 0.0834        | 5.0   | 3130 | 0.3440          | 0.9090 | 0.9091   |


### Framework versions

- Transformers 4.48.1
- Pytorch 2.5.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0