OlgaSherr
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QandA-model-sberquad

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QandA-model-sberquad

This model is a fine-tuned version of abletobetable/mdeberta-ru-qa on the sberquad dataset. It achieves the following results on the evaluation set:

Loss: 5.4852

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: 0.001
train_batch_size: 25
eval_batch_size: 25
seed: 2023
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	1	5.6285
No log	2.0	2	5.4759
No log	3.0	3	5.4852

Framework versions

Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1

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Safetensors

Model size

0.3B params

Tensor type

F32

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Model tree for OlgaSherr/QandA-model-sberquad

Base model

abletobetable/mdeberta-ru-qa

Finetuned

(2)

this model

Dataset used to train OlgaSherr/QandA-model-sberquad