flan-t5-base-finetuned-lora-elementary_math_qa-7
This model is a fine-tuned version of google/flan-t5-base on the bigbench 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: 100
- eval_batch_size: 100
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
Framework versions
- Transformers 4.35.1
- Pytorch 2.1.1+cu118
- Datasets 2.14.7
- Tokenizers 0.14.1
Model tree for JsSparkYyx/flan-t5-base-finetuned-lora-elementary_math_qa-7
Base model
google/flan-t5-base