frayline/ef_t5_hpi2bhc_5000best_model
09
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eft5hpi2bhc5000bestmodel
This model is a fine-tuned version of google-t5/t5-base 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: 1.189745386890776e-06
- trainbatchsize: 4
- evalbatchsize: 4
- seed: 123
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lrschedulertype: linear
- num_epochs: 1
- mixedprecisiontraining: Native AMP
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.19.0
- Tokenizers 0.15.0