---
library_name: transformers
license: apache-2.0
base_model: google-bert/bert-base-cased
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: financial_classifier
  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. -->

# financial_classifier

This model is a fine-tuned version of [google-bert/bert-base-cased](https://huggingface.co/google-bert/bert-base-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8641
- F1: 0.8449

## 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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH 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 | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.6009        | 1.0   | 243  | 0.5979          | 0.6961 |
| 0.2856        | 2.0   | 486  | 0.3836          | 0.8682 |
| 0.241         | 3.0   | 729  | 0.4665          | 0.8457 |
| 0.2022        | 4.0   | 972  | 0.5101          | 0.8620 |
| 0.1361        | 5.0   | 1215 | 0.5907          | 0.8586 |
| 0.1032        | 6.0   | 1458 | 0.7144          | 0.8393 |
| 0.0775        | 7.0   | 1701 | 0.7369          | 0.8651 |
| 0.0221        | 8.0   | 1944 | 0.7892          | 0.8591 |
| 0.0278        | 9.0   | 2187 | 0.8709          | 0.8352 |
| 0.0405        | 10.0  | 2430 | 0.8641          | 0.8449 |


### Framework versions

- Transformers 4.52.4
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.2