MobileBERT-uncased-squad-v1-BiLSTM-finetuned-squad-resize-output3-lr2e-5

This model is a fine-tuned version of csarron/mobilebert-uncased-squad-v1 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.0266

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: 6
• eval_batch_size: 60
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss
0.5574	1.0	14619	1.0325
0.5452	2.0	29238	1.0266

Framework versions

• Transformers 4.40.0
• Pytorch 2.5.0+cu121
• Datasets 2.21.0
• Tokenizers 0.19.1