bert_wikitext

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: 2.5739

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: 0.0005
• train_batch_size: 32
• eval_batch_size: 32
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 500
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
2.5777	0.3484	400	2.5606
3.4402	0.6969	800	3.1688
3.3722	1.0453	1200	3.2573
3.1671	1.3937	1600	3.1576
3.0417	1.7422	2000	3.0741
2.6817	2.0906	2400	2.8792
2.5589	2.4390	2800	2.7123
2.3957	2.7875	3200	2.5590

Framework versions

• Transformers 4.42.3
• Pytorch 2.1.2
• Datasets 2.20.0
• Tokenizers 0.19.1