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# dst_model

This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on the None dataset.

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 5000

### Training results



### Framework versions

- Transformers 4.34.1
- Pytorch 1.13.1+cu117
- Datasets 2.10.0
- Tokenizers 0.14.1

{"license": "apache-2.0", "tags": ["generated_from_trainer"], "base_model": "google-t5/t5-small", "model-index": [{"name": "dst_model", "results": []}]}
transformers pytorch t5 text2text-generation generated_from_trainer base_model:google-t5/t5-small license:apache-2.0 autotrain_compatible endpoints_compatible text-generation-inference region:us