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# grammarly-finetune

This model is a fine-tuned version of [learningML/grammarly-finetune](https://huggingface.co/learningML/grammarly-finetune) on the paws dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9027

## 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: 5e-05
- 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
- lr_scheduler_warmup_steps: 1
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| No log        | 1.0   | 2    | 0.9027          |


### Framework versions

- Transformers 4.26.0
- Pytorch 1.13.1+cu117
- Datasets 2.9.0
- Tokenizers 0.13.2

{"license": "cc-by-nc-4.0", "tags": ["generated_from_trainer"], "datasets": ["paws"], "model-index": [{"name": "grammarly-finetune", "results": []}]}
transformers pytorch t5 text2text-generation generated_from_trainer dataset:paws license:cc-by-nc-4.0 autotrain_compatible endpoints_compatible text-generation-inference region:us