---
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 [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4728
- F1: 0.5831

## 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: 64
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | F1     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| No log        | 1.0   | 176  | 1.3057          | 0.5639 |
| 1.5017        | 2.0   | 352  | 1.3862          | 0.5755 |
| 0.9071        | 3.0   | 528  | 1.4728          | 0.5831 |
| 0.5925        | 4.0   | 704  | 1.6452          | 0.5738 |
| 0.3718        | 5.0   | 880  | 1.6950          | 0.5730 |


### Framework versions

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