---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
model-index:
- name: my_awesome_wnut_model3
  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. -->

# my_awesome_wnut_model3

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: 0.0064

## 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: 2e-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: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.0282        | 1.0   | 2470  | 0.0120          |
| 0.0089        | 2.0   | 4940  | 0.0101          |
| 0.0042        | 3.0   | 7410  | 0.0092          |
| 0.0024        | 4.0   | 9880  | 0.0078          |
| 0.0013        | 5.0   | 12350 | 0.0079          |
| 0.0011        | 6.0   | 14820 | 0.0067          |
| 0.0009        | 7.0   | 17290 | 0.0066          |
| 0.0006        | 8.0   | 19760 | 0.0064          |
| 0.0004        | 9.0   | 22230 | 0.0061          |
| 0.0003        | 10.0  | 24700 | 0.0064          |


### Framework versions

- Transformers 4.33.2
- Pytorch 1.13.1+cu117
- Datasets 2.14.5
- Tokenizers 0.13.3