---
license: apache-2.0
library_name: peft
tags:
- generated_from_trainer
base_model: distilbert-base-uncased
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 the None dataset.
It achieves the following results on the evaluation set:
- Loss: 2.0657
- Accuracy: {'accuracy': 0.7330827067669173}

## 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                         |
|:-------------:|:-----:|:----:|:---------------:|:--------------------------------:|
| 0.9636        | 1.0   | 538  | 0.8582          | {'accuracy': 0.6992481203007519} |
| 0.7447        | 2.0   | 1076 | 1.0010          | {'accuracy': 0.7030075187969925} |
| 0.5876        | 3.0   | 1614 | 0.9129          | {'accuracy': 0.7142857142857143} |
| 0.4728        | 4.0   | 2152 | 1.1641          | {'accuracy': 0.7255639097744361} |
| 0.4145        | 5.0   | 2690 | 1.3646          | {'accuracy': 0.7330827067669173} |
| 0.2917        | 6.0   | 3228 | 1.4447          | {'accuracy': 0.7556390977443609} |
| 0.2485        | 7.0   | 3766 | 1.7574          | {'accuracy': 0.7330827067669173} |
| 0.1596        | 8.0   | 4304 | 1.9367          | {'accuracy': 0.7330827067669173} |
| 0.1468        | 9.0   | 4842 | 2.0091          | {'accuracy': 0.7368421052631579} |
| 0.1128        | 10.0  | 5380 | 2.0657          | {'accuracy': 0.7330827067669173} |


### Framework versions

- PEFT 0.11.1
- Transformers 4.41.0
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.19.1