flan-t5-base-finetuned-lora-intersect_geometry-8

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