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suthanhcong/
bert-finetuned-squad-finetuned-DouRC_squad

Name: bert-finetuned-squad-finetuned-DouRC_squad
Availability: InStock

generated_from_trainer

Alexander-Learn/bert-finetuned-squad

finetune

endpoints_compatible

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bert-finetuned-squad-finetuned-DouRC_squad

This model is a fine-tuned version of Alexander-Learn/bert-finetuned-squad on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.2794
Exact Match: 0.725
F1: 0.5962

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: 72
eval_batch_size: 72
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Exact Match	F1
1.1781	1.0	828	1.1097	0.72	0.6202
0.9177	2.0	1656	1.1056	0.715	0.5938
0.7366	3.0	2484	1.1415	0.715	0.5756
0.6056	4.0	3312	1.2132	0.71	0.5830
0.5191	5.0	4140	1.2794	0.725	0.5962

Framework versions

Transformers 4.41.2
Pytorch 2.1.2
Datasets 2.19.2
Tokenizers 0.19.1

suthanhcong/bert-finetuned-squad-finetuned-DouRC_squad

bert-finetuned-squad-finetuned-DouRC_squad

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

suthanhcong/
bert-finetuned-squad-finetuned-DouRC_squad