---
base_model: distilbert-base-uncased
library_name: peft
license: apache-2.0
metrics:
- accuracy
tags:
- generated_from_trainer
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 the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9693
- Accuracy: {'accuracy': 0.869}

## 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: 4
- eval_batch_size: 4
- 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   | 250  | 0.3269          | {'accuracy': 0.874} |
| 0.4812        | 2.0   | 500  | 0.5846          | {'accuracy': 0.85}  |
| 0.4812        | 3.0   | 750  | 0.5519          | {'accuracy': 0.839} |
| 0.3542        | 4.0   | 1000 | 0.5615          | {'accuracy': 0.862} |
| 0.3542        | 5.0   | 1250 | 0.5924          | {'accuracy': 0.874} |
| 0.2267        | 6.0   | 1500 | 0.7992          | {'accuracy': 0.868} |
| 0.2267        | 7.0   | 1750 | 0.8458          | {'accuracy': 0.868} |
| 0.1275        | 8.0   | 2000 | 0.9919          | {'accuracy': 0.86}  |
| 0.1275        | 9.0   | 2250 | 0.9489          | {'accuracy': 0.871} |
| 0.0565        | 10.0  | 2500 | 0.9693          | {'accuracy': 0.869} |


### Framework versions

- PEFT 0.13.2
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1