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# results

This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the sentiment140 (https://huggingface.co/datasets/sentiment140) dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5693
- Accuracy: 0.75

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 0.5651        | 1.0   | 1875  | 0.5443          | 0.733    |
| 0.5374        | 2.0   | 3750  | 0.5999          | 0.743    |
| 0.5336        | 3.0   | 5625  | 0.5308          | 0.744    |
| 0.5164        | 4.0   | 7500  | 0.5372          | 0.7383   |
| 0.4782        | 5.0   | 9375  | 0.5352          | 0.7537   |
| 0.4798        | 6.0   | 11250 | 0.5441          | 0.7543   |
| 0.4493        | 7.0   | 13125 | 0.5618          | 0.7487   |
| 0.4447        | 8.0   | 15000 | 0.5693          | 0.75     |


### Framework versions

- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
{"license": "apache-2.0", "library_name": "peft", "tags": ["generated_from_trainer", "LORA", "PEFT"], "datasets": ["sentiment140"], "metrics": ["accuracy"], "base_model": "distilbert-base-uncased", "model-index": [{"name": "results", "results": []}]}
peft tensorboard safetensors generated_from_trainer LORA PEFT dataset:sentiment140 base_model:distilbert-base-uncased license:apache-2.0 region:us