--- tags: - generated_from_trainer metrics: - accuracy model-index: - name: kaz_legal_bert_6 results: [] --- # kaz_legal_bert_6 This model is a fine-tuned version of [kaisar-barlybay-sse/kaz_legal_bert](https://huggingface.co/kaisar-barlybay-sse/kaz_legal_bert) on the None dataset. It achieves the following results on the evaluation set: - Loss: 1.3863 - Accuracy: 0.3832 ## 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: 5e-05 - train_batch_size: 4 - eval_batch_size: 4 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 6 ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | 1.3912 | 1.0 | 501 | 1.3852 | 0.3872 | | 1.3894 | 2.0 | 1002 | 1.3863 | 0.3653 | | 1.391 | 3.0 | 1503 | 1.3863 | 0.3613 | | 1.3968 | 4.0 | 2004 | 1.3863 | 0.3812 | | 1.3947 | 5.0 | 2505 | 1.3863 | 0.3872 | | 1.3925 | 6.0 | 3006 | 1.3863 | 0.3832 | ### Framework versions - Transformers 4.28.1 - Pytorch 2.0.0+cu118 - Datasets 2.11.0 - Tokenizers 0.13.3