Finetuned_FLAN-T5_VALUE_adapterfusion_lr1e-4_bs96

This model is a fine-tuned version of liuyanchen1015/FLAN-T5_GLUE_finetuning_lr3e-4 on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.0896
• Accuracy: 0.8782

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: 0.0001
• train_batch_size: 96
• eval_batch_size: 96
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 1.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.0588	0.25	2500	0.0865	0.8766
0.054	0.51	5000	0.0891	0.8768
0.0525	0.76	7500	0.0896	0.8782

Framework versions

• Transformers 4.26.1
• Pytorch 1.13.0+cu117
• Datasets 2.10.1
• Tokenizers 0.12.1