layer_1_classifier_google

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

• Loss: 0.4568
• Accuracy: 0.9022

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: 2e-05
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	2	0.5103	1.0
No log	2.0	4	0.4784	1.0
No log	3.0	6	0.4533	1.0
No log	4.0	8	0.4340	1.0
No log	5.0	10	0.4168	1.0
No log	6.0	12	0.4040	1.0
No log	7.0	14	0.3956	1.0
No log	8.0	16	0.3921	1.0

Framework versions

• Transformers 4.32.1
• Pytorch 2.0.1+cu118
• Datasets 2.14.4
• Tokenizers 0.13.3