flant5-base-finetuning-v1

This model is a fine-tuned version of google/flan-t5-base on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: nan

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: 4
• eval_batch_size: 4
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 16
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 6

Training results

Training Loss	Epoch	Step	Validation Loss
3670671.36	0.32	250	nan
0.0	0.64	500	nan
0.0	0.96	750	nan
0.0	1.28	1000	nan
0.0	1.61	1250	nan
0.0	1.93	1500	nan
0.0	2.25	1750	nan

Framework versions

• Transformers 4.39.3
• Pytorch 2.1.2
• Datasets 2.19.1
• Tokenizers 0.15.2