metadata

base_model: mor40/BulBERT-finetuned-cinexio
tags:
  - generated_from_trainer
datasets:
  - bgglue
metrics:
  - accuracy
model-index:
  - name: BulBERT-cinexio-10epochs
    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: 0.6288532675709001

BulBERT-cinexio-10epochs

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: 1.1866
Accuracy: 0.6289

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: 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: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	64	1.3334	0.5746
No log	2.0	128	1.2053	0.6017
No log	3.0	192	1.1826	0.6227
No log	4.0	256	1.1826	0.6252
No log	5.0	320	1.1671	0.6227
No log	6.0	384	1.1743	0.6289
No log	7.0	448	1.1795	0.6375
1.0262	8.0	512	1.1847	0.6178
1.0262	9.0	576	1.1877	0.6264
1.0262	10.0	640	1.1866	0.6289

Framework versions

Transformers 4.34.1
Pytorch 2.1.0+cu118
Datasets 2.14.5
Tokenizers 0.14.1