metadata

license: mit
base_model: csarron/mobilebert-uncased-squad-v1
tags:
  - generated_from_trainer
model-index:
  - name: >-
      MobileBERT-uncased-squad-v1-BiLSTM-finetuned-squad-fc1-fullunfreeze-dropout02
    results: []

MobileBERT-uncased-squad-v1-BiLSTM-finetuned-squad-fc1-fullunfreeze-dropout02

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: 1.0898

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: 3e-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
0.6956	1.0	14619	1.0271
0.5183	2.0	29238	1.0898

Framework versions

Transformers 4.40.0
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1