qa_model_study_1

This model is a fine-tuned version of distilbert-base-uncased on the sberquad dataset. It achieves the following results on the evaluation set:

• Loss: 2.4337

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
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss
3.1351	1.0	750	2.6338
2.5385	2.0	1500	2.4813
2.3433	3.0	2250	2.4337

Framework versions

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