README.md

metadata

base_model: mor40/BulBERT-chitanka-model
tags:
  - generated_from_trainer
datasets:
  - bgglue
metrics:
  - accuracy
model-index:
  - name: BulBERT-xnli-2epochs
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: bgglue
          type: bgglue
          config: xnlibg
          split: validation
          args: xnlibg
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.7016064257028113

BulBERT-xnli-2epochs

This model is a fine-tuned version of mor40/BulBERT-chitanka-model on the bgglue dataset. It achieves the following results on the evaluation set:

• Loss: 0.7013
• Accuracy: 0.7016

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: 48
• eval_batch_size: 48
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.7543	1.0	8182	0.7510	0.6731
0.6804	2.0	16364	0.7013	0.7016

Framework versions

• Transformers 4.34.1
• Pytorch 2.1.0+cu118
• Datasets 2.14.6
• Tokenizers 0.14.1