Edit model card

xlm-roberta-base-squad-ft-qa-ru-mt-to-kaz

This model is a fine-tuned version of deepset/xlm-roberta-base-squad2 on the None dataset.

Model description

This model is one of many models created within the framework of a project to study the solution of a QA task for low-resource languages using the example of Kazakh and Uzbek.

Please see the description of the project, where there is a description of the solution and the results of the models in order to choose the best model for the Kazakh or Uzbek language.

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 1e-05
  • train_batch_size: 28
  • eval_batch_size: 28
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.2
  • num_epochs: 10.0

Framework versions

  • Transformers 4.40.1
  • Pytorch 2.0.0+cu118
  • Datasets 2.18.0
  • Tokenizers 0.19.1
Downloads last month
9
Safetensors
Model size
277M params
Tensor type
F32
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for med-alex/xlm-roberta-base-squad-ft-qa-ru-mt-to-kaz

Finetuned
(10)
this model

Dataset used to train med-alex/xlm-roberta-base-squad-ft-qa-ru-mt-to-kaz