tiny-mlm-glue-qnli-target-glue-mrpc

This model is a fine-tuned version of muhtasham/tiny-mlm-glue-qnli on the None dataset. It achieves the following results on the evaluation set:

• Loss: 1.3118
• Accuracy: 0.7353
• F1: 0.8176

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: 3e-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: constant
• num_epochs: 200

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1
0.5845	4.35	500	0.5424	0.7402	0.8290
0.4395	8.7	1000	0.5503	0.7525	0.8374
0.2883	13.04	1500	0.6404	0.7475	0.8280
0.1828	17.39	2000	0.7736	0.7574	0.8406
0.1141	21.74	2500	1.0144	0.7255	0.8056
0.0816	26.09	3000	1.1432	0.7328	0.8180
0.0616	30.43	3500	1.3118	0.7353	0.8176

Framework versions

• Transformers 4.26.0.dev0
• Pytorch 1.13.0+cu116
• Datasets 2.8.1.dev0
• Tokenizers 0.13.2