---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- f1
model-index:
- name: Greg-DistilBert-classifier
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Greg-DistilBert-classifier

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co./distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.7835
- F1: 0.7175

## 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: 8
- 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     |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.8486        | 0.5   | 500  | 0.9540          | 0.6137 |
| 0.7857        | 1.0   | 1000 | 0.7877          | 0.6671 |
| 0.7039        | 1.5   | 1500 | 0.7438          | 0.7035 |
| 0.6526        | 2.01  | 2000 | 0.7396          | 0.7107 |
| 0.5131        | 2.51  | 2500 | 0.7835          | 0.7175 |


### Framework versions

- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.1
- Tokenizers 0.13.3