mpnet-base-finetuned-AdamW-mnli

This model is a fine-tuned version of microsoft/mpnet-base on the glue dataset. It achieves the following results on the evaluation set:

• Loss: 0.5741
• Accuracy: 0.8290

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: 6.7e-05
• train_batch_size: 4
• eval_batch_size: 4
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 196351
• num_epochs: 0.2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6323	0.2	19636	0.5741	0.8290

Framework versions

• Transformers 4.26.1
• Pytorch 1.13.1+cu117
• Datasets 2.10.0
• Tokenizers 0.13.2