bert-base-uncased-finetuned-md

This model is a fine-tuned version of bert-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.3329

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0

Training results

Training Loss	Epoch	Step	Validation Loss
0.2415	1.0	1044	0.2084
0.1244	2.0	2088	0.2903
0.0427	3.0	3132	0.3329

Framework versions

• Transformers 4.15.0
• Pytorch 1.10.0+cu111
• Tokenizers 0.10.3