README.md

metadata

base_model: mor40/BulBERT-finetuned-cinexio
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: 0.6165228113440198

BulBERT-cinexio-5epochs

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

• Loss: 1.1630
• Accuracy: 0.6165

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: 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	1.2512	0.6005
No log	2.0	128	1.1742	0.6128
No log	3.0	192	1.1584	0.6252
No log	4.0	256	1.1562	0.6202
No log	5.0	320	1.1630	0.6165

Framework versions

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