flan-t5-ellis

This model is a fine-tuned version of google/flan-t5-base on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.8109

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: 5e-05
• train_batch_size: 1
• eval_batch_size: 1
• seed: 42
• gradient_accumulation_steps: 16
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 50

Training results

Training Loss	Epoch	Step	Validation Loss
0.995	9.96	500	0.8963
0.7497	19.93	1000	0.7965
0.6163	29.89	1500	0.7912
0.5471	39.85	2000	0.8116
0.5249	49.81	2500	0.8109

Framework versions

• Transformers 4.31.0
• Pytorch 2.1.0+cu121
• Datasets 2.13.0
• Tokenizers 0.13.3