---
license: apache-2.0
base_model: distilbert-base-uncased
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: distilbert-base-uncased-lora-text-classification
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# distilbert-base-uncased-lora-text-classification

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: 0.7319
- Accuracy: {'accuracy': 0.889}

## 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: 0.001
- train_batch_size: 3
- eval_batch_size: 3
- 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 | Accuracy            |
|:-------------:|:-----:|:----:|:---------------:|:-------------------:|
| No log        | 1.0   | 334  | 0.3624          | {'accuracy': 0.885} |
| 0.4609        | 2.0   | 668  | 0.4852          | {'accuracy': 0.864} |
| 0.2886        | 3.0   | 1002 | 0.5991          | {'accuracy': 0.882} |
| 0.2886        | 4.0   | 1336 | 0.6573          | {'accuracy': 0.89}  |
| 0.0844        | 5.0   | 1670 | 0.7319          | {'accuracy': 0.889} |


### Framework versions

- Transformers 4.32.1
- Pytorch 2.1.0
- Datasets 2.14.4
- Tokenizers 0.13.3