bert-base-cased-bert-yoga-finetuned

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

• Loss: 2.0760

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: 64
• eval_batch_size: 64
• 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
2.4202	1.0	235	2.1511
2.1798	2.0	470	2.0707
2.1428	3.0	705	2.0810

Framework versions

• Transformers 4.20.1
• Pytorch 1.11.0+cpu
• Datasets 2.4.0
• Tokenizers 0.12.1