bert-large-uncased-finetuned-youcook_1

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

• Loss: 1.9929

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: 5
• eval_batch_size: 5
• seed: 42
• distributed_type: multi-GPU
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 3.0
• mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
2.3915	1.0	206	2.1036
2.0412	2.0	412	2.2207
1.9062	3.0	618	1.7281

Framework versions

• Transformers 4.20.1
• Pytorch 1.11.0a0+17540c5
• Datasets 2.3.2
• Tokenizers 0.12.1