rg_model_base
This model is a fine-tuned version of google-t5/t5-base 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: 16
- eval_batch_size: 16
- 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
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Model tree for songbo/rg_model_base
Base model
google-t5/t5-base