reddit-bert-text2

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: 2.4969
• Perplexity: 12.14

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
2.8378	1.0	1007	2.6379
2.6493	2.0	2014	2.5655
2.5561	3.0	3021	2.5382

Framework versions

• Transformers 4.12.5
• Pytorch 1.10.0+cu113
• Datasets 1.16.1
• Tokenizers 0.10.3