---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- test_data_huggingface
metrics:
- f1
model-index:
- name: test_model
  results:
  - task:
      name: Text Classification
      type: text-classification
    dataset:
      name: test_data_huggingface
      type: test_data_huggingface
      config: default
      split: test
      args: default
    metrics:
    - name: F1
      type: f1
      value: 0.8838734406601743
---

<!-- 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_model

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the test_data_huggingface dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6090
- F1: 0.8839

## 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: 0.0001
- train_batch_size: 32
- eval_batch_size: 16
- 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     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log        | 1.0   | 47   | 0.8159          | 0.6409 |
| No log        | 2.0   | 94   | 0.5982          | 0.8567 |
| No log        | 3.0   | 141  | 0.6090          | 0.8839 |


### Framework versions

- Transformers 4.29.1
- Pytorch 2.0.1+cu117
- Datasets 2.12.0
- Tokenizers 0.13.3