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# opt-350m-pattern-based_finetuning_with_lora-mnli-mm-d3_fs3

This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on the glue dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6539
- Accuracy: 0.5311

## 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-06
- 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 1.6851        | 1.0   | 1    | 1.6539          | 0.5311   |
| 1.4361        | 2.0   | 2    | 1.6493          | 0.5308   |
| 1.4755        | 3.0   | 3    | 1.6460          | 0.5307   |
| 1.4892        | 4.0   | 4    | 1.6438          | 0.5308   |
| 1.561         | 5.0   | 5    | 1.6426          | 0.5308   |


### Framework versions

- PEFT 0.7.1.dev0
- Transformers 4.36.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
{"license": "other", "library_name": "peft", "tags": ["generated_from_trainer"], "datasets": ["glue"], "metrics": ["accuracy"], "base_model": "facebook/opt-350m", "model-index": [{"name": "opt-350m-pattern-based_finetuning_with_lora-mnli-mm-d3_fs3", "results": []}]}
peft tensorboard safetensors generated_from_trainer dataset:glue base_model:facebook/opt-350m license:other region:us