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