bert-base-uncased-finetuned-swag-2024-8-1

This model is a fine-tuned version of 7k8k7/bert-base-uncased-finetuned-swag on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.9385
• Accuracy: 0.6943

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: 16
• eval_batch_size: 16
• seed: 42
• 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	147	2.2005	0.5779
No log	2.0	294	2.4266	0.6789
No log	3.0	441	1.9385	0.6943

Framework versions

• Transformers 4.43.3
• Pytorch 2.2.0+cpu
• Datasets 2.20.0
• Tokenizers 0.19.1