fine-tuning-binary_bert-cola-glue-steps47-bs128-0.0003-8-8-512-0.1

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

• Loss: 0.0003
• Accuracy: 1.0

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: 0.0003
• train_batch_size: 128
• eval_batch_size: 128
• seed: 42
• distributed_type: multi-GPU
• num_devices: 2
• total_train_batch_size: 256
• total_eval_batch_size: 256
• optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.3086	0.21	5	0.0410	1.0
0.02	0.42	10	0.0019	1.0
0.0016	0.62	15	0.0005	1.0
0.0006	0.83	20	0.0003	1.0

Framework versions

• Transformers 4.34.1
• Pytorch 2.1.0+cu121
• Datasets 2.14.6
• Tokenizers 0.14.1