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# hossam-t5

This model is a fine-tuned version of [UBC-NLP/octopus](https://huggingface.co/UBC-NLP/octopus) on an unknown 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 256
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- training_steps: 4000
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.37.0
- Pytorch 2.1.2
- Datasets 2.1.0
- Tokenizers 0.15.1

{"tags": ["generated_from_trainer"], "base_model": "UBC-NLP/octopus", "model-index": [{"name": "hossam-t5", "results": []}]}
transformers tensorboard safetensors t5 text2text-generation generated_from_trainer base_model:UBC-NLP/octopus autotrain_compatible endpoints_compatible text-generation-inference region:us