flan-t5-xl_MeDistill_xl_28

This model is a fine-tuned version of google/flan-t5-xl 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: 1e-05
• train_batch_size: 1
• eval_batch_size: 16
• seed: 0
• distributed_type: multi-GPU
• gradient_accumulation_steps: 2
• total_train_batch_size: 2
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 1000
• training_steps: 12000

Training results

Framework versions

• Transformers 4.39.3
• Pytorch 2.0.1
• Datasets 2.19.1
• Tokenizers 0.15.2