metadata

license: apache-2.0
base_model: bert-large-uncased-whole-word-masking-finetuned-squad
tags:
  - generated_from_trainer
model-index:
  - name: my_awesome_qa_model
    results: []

my_awesome_qa_model

This model is a fine-tuned version of bert-large-uncased-whole-word-masking-finetuned-squad on the None dataset. It achieves the following results on the evaluation set:

Loss: 3.2726

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: 1e-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
No log	1.0	3	4.0313
No log	2.0	6	3.4433
No log	3.0	9	3.2726

Framework versions

Transformers 4.34.0
Pytorch 2.1.0+cpu
Datasets 2.14.6
Tokenizers 0.14.1