---
license: apache-2.0
base_model: bert-base-uncased
tags:
- generated_from_trainer
datasets:
- banking77
model-index:
- name: bert-base-banking77-pt2
  results: []
---

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# bert-base-banking77-pt2

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:
- eval_loss: 4.3984
- eval_f1: 0.0003
- eval_runtime: 300.4394
- eval_samples_per_second: 10.252
- eval_steps_per_second: 0.642
- epoch: 1.0
- step: 626

## 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: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Framework versions

- Transformers 4.33.3
- Pytorch 2.1.0
- Datasets 2.12.0
- Tokenizers 0.13.2