alpaca-finetuned-model
This model is a fine-tuned version of 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: 0.0002
- 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: cosine
- training_steps: 250
Training results
Framework versions
- Transformers 4.36.0
- Pytorch 2.2.0+cpu
- Datasets 2.16.1
- Tokenizers 0.15.1
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Model tree for CaptYogesh56/alpaca-finetuned-model
Base model
google-t5/t5-small