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# opt-125m-pattern-based_finetuning_with_lora-mnli-mm-d3_fs1

This model is a fine-tuned version of [facebook/opt-125m](https://huggingface.co/facebook/opt-125m) on the glue dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8116
- Accuracy: 0.5108

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
| 0.52          | 1.0   | 1    | 0.8116          | 0.5108   |
| 0.5579        | 2.0   | 2    | 0.8123          | 0.5102   |
| 0.5569        | 3.0   | 3    | 0.8128          | 0.5098   |
| 0.4609        | 4.0   | 4    | 0.8131          | 0.5101   |
| 0.4686        | 5.0   | 5    | 0.8133          | 0.5101   |


### 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-125m", "model-index": [{"name": "opt-125m-pattern-based_finetuning_with_lora-mnli-mm-d3_fs1", "results": []}]}
peft tensorboard safetensors generated_from_trainer dataset:glue base_model:facebook/opt-125m license:other region:us