---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- banking77
metrics:
- f1
model-index:
- name: test-bert-base-banking77
  results:
  - task:
      name: Text Classification
      type: text-classification
    dataset:
      name: banking77
      type: banking77
      config: default
      split: test
      args: default
    metrics:
    - name: F1
      type: f1
      value: 0.9307471722060918
---

<!-- 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. -->

# test-bert-base-banking77

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the banking77 dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2828
- F1: 0.9307

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 1.0786        | 1.0   | 626  | 0.7667          | 0.8429 |
| 0.3836        | 2.0   | 1252 | 0.3487          | 0.9223 |
| 0.1855        | 3.0   | 1878 | 0.2828          | 0.9307 |


### Framework versions

- Transformers 4.29.2
- Pytorch 2.0.1
- Datasets 2.14.2
- Tokenizers 0.13.2