reddit-bert-text_20

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: 2.4702
• Perplexity: 11.82

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
2.9383	1.0	947	2.5420
2.6448	2.0	1894	2.5241
2.586	3.0	2841	2.4833

Framework versions

• Transformers 4.14.1
• Pytorch 1.10.0+cu113
• Datasets 1.16.1
• Tokenizers 0.10.3