bert_uncased_L-4_H-256_A-4-finetuned-hangman-finetuned-hangman

This model is a fine-tuned version of vaibhav9/bert_uncased_L-4_H-256_A-4-finetuned-hangman on the None dataset. It achieves the following results on the evaluation set:

• Loss: 2.6879

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
2.1734	1.0	22730	2.6784
2.1693	2.0	45460	2.6760
2.1692	3.0	68190	2.6879

Framework versions

• Transformers 4.33.2
• Pytorch 2.0.1+cu118
• Datasets 2.14.5
• Tokenizers 0.13.3