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Doter/
faq_model

Name: faq_model
Availability: InStock

generated_from_trainer

timpal0l/mdeberta-v3-base-squad2

finetune

mit

endpoints_compatible

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faq_model

This model is a fine-tuned version of timpal0l/mdeberta-v3-base-squad2 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.1331

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: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss
No log	1.0	250	0.4844
0.4439	2.0	500	0.5077
0.4439	3.0	750	0.6605
0.1985	4.0	1000	0.8166
0.1985	5.0	1250	0.7628
0.1114	6.0	1500	0.9060
0.1114	7.0	1750	0.9887
0.0556	8.0	2000	1.0709
0.0556	9.0	2250	1.1016
0.0288	10.0	2500	1.1331

Framework versions

Transformers 4.38.2
Pytorch 2.2.1+cu121
Datasets 2.19.0
Tokenizers 0.15.2

Doter/faq_model

faq_model

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

Doter/
faq_model