bert-base-cola

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: 0.4842
• Accuracy: 0.8351

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: 32
• eval_batch_size: 64
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 128
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	67	0.4154	0.8178
No log	2.0	134	0.4394	0.8236
No log	3.0	201	0.4842	0.8351

Framework versions

• Transformers 4.31.0
• Pytorch 2.0.1+cu117
• Datasets 2.18.0
• Tokenizers 0.13.3