---
license: apache-2.0
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: test_model
  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. -->

# test_model

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4334
- F1: 0.6046

## 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: 5.026095286203108e-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: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 1.3881        | 1.0   | 701  | 1.3800          | 0.5702 |
| 0.9158        | 2.0   | 1402 | 1.3474          | 0.5931 |
| 0.6242        | 3.0   | 2103 | 1.4334          | 0.6046 |


### Framework versions

- Transformers 4.27.1
- Pytorch 2.0.1+cu117
- Datasets 2.6.1
- Tokenizers 0.13.3