README.md

metadata

base_model: mor40/BulBERT-chitanka-model
tags:
  - generated_from_trainer
datasets:
  - bgglue
metrics:
  - accuracy
model-index:
  - name: BulBERT-cinexio-5epochs
    results:
      - task:
          name: Text Classification
          type: text-classification
        dataset:
          name: bgglue
          type: bgglue
          config: cinexio
          split: validation
          args: cinexio
        metrics:
          - name: Accuracy
            type: accuracy
            value: 0.5844636251541308

BulBERT-cinexio-5epochs

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: 1.5157
• Accuracy: 0.5845

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: 4e-05
• train_batch_size: 128
• eval_batch_size: 128
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	64	1.3080	0.5956
No log	2.0	128	1.4107	0.5709
No log	3.0	192	1.4825	0.5968
No log	4.0	256	1.5070	0.5882
No log	5.0	320	1.5157	0.5845

Framework versions

• Transformers 4.34.0
• Pytorch 2.0.1+cu118
• Datasets 2.14.5
• Tokenizers 0.14.1