medberta_v2

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

• Loss: 0.7111

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: 7e-05
• train_batch_size: 72
• eval_batch_size: 72
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss
0.9168	0.96	40000	0.8666
0.8392	1.91	80000	0.7871
0.7867	2.87	120000	0.7432
0.7418	3.83	160000	0.7111

Framework versions

• Transformers 4.19.2
• Pytorch 1.10.0+cu113
• Datasets 1.16.1
• Tokenizers 0.12.1