bert-base-uncased-sports

This model is a fine-tuned version of bert-base-uncased on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.0064

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: 8
• eval_batch_size: 8
• 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
2.4926	1.0	912	2.1186
2.2168	2.0	1824	2.0392
2.1327	3.0	2736	2.0081

Framework versions

• Transformers 4.16.2
• Pytorch 1.10.0
• Datasets 1.18.3
• Tokenizers 0.11.0