bert_large_uncased-QA1

This model is a fine-tuned version of google-bert/bert-large-uncased-whole-word-masking-finetuned-squad on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.6158

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: 16
• eval_batch_size: 16
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_steps: 100
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	9	3.4299
No log	2.0	18	2.3637
No log	3.0	27	1.3157
No log	4.0	36	0.8384
No log	5.0	45	0.6158

Framework versions

• Transformers 4.40.2
• Pytorch 2.2.1+cu121
• Datasets 2.19.1
• Tokenizers 0.19.1