bert-large-cased-fp-sick

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

• Loss: 0.3773
• Accuracy: 0.8626

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: 32
• seed: 59
• 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	70	0.5329	0.8
No log	2.0	140	0.3852	0.8667
No log	3.0	210	0.3773	0.8626

Framework versions

• Transformers 4.35.2
• Pytorch 2.0.1+cu118
• Datasets 2.15.0
• Tokenizers 0.15.0