---
license: apache-2.0
base_model: distilbert/distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: my_awesome_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. -->

# my_awesome_model

This model is a fine-tuned version of [distilbert/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3837
- Accuracy: 0.8642

## 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 | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| No log        | 1.0   | 192  | 0.4443          | 0.8407   |
| No log        | 2.0   | 384  | 0.4431          | 0.8407   |
| 0.3652        | 3.0   | 576  | 0.4471          | 0.8407   |
| 0.3652        | 4.0   | 768  | 0.3579          | 0.8642   |
| 0.3652        | 5.0   | 960  | 0.3823          | 0.8642   |
| 0.3287        | 6.0   | 1152 | 0.3654          | 0.8642   |
| 0.3287        | 7.0   | 1344 | 0.3694          | 0.8642   |
| 0.2929        | 8.0   | 1536 | 0.3688          | 0.8642   |
| 0.2929        | 9.0   | 1728 | 0.3817          | 0.8642   |
| 0.2929        | 10.0  | 1920 | 0.3837          | 0.8642   |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.16.1
- Tokenizers 0.15.2