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# VarunOPTTest-finetuned-slangQA

This model is a fine-tuned version of [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.5151

## 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: 1e-05
- 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: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.609         | 1.0   | 1691 | 1.5411          |
| 1.4713        | 2.0   | 3382 | 1.5151          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0

{"license": "other", "tags": ["generated_from_trainer"], "base_model": "facebook/opt-350m", "model-index": [{"name": "VarunOPTTest-finetuned-slangQA", "results": []}]}
transformers tensorboard safetensors opt text-generation generated_from_trainer base_model:facebook/opt-350m license:other autotrain_compatible endpoints_compatible text-generation-inference region:us