youtube-bert

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: 2.4771

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
2.691	1.0	1077	2.5445
2.5768	2.0	2154	2.5226
2.5227	3.0	3231	2.5027

Framework versions

• Transformers 4.15.0
• Pytorch 1.10.0+cu113
• Datasets 1.17.0
• Tokenizers 0.10.3