qard

This model is a fine-tuned version of kaisar-barlybay-sse/kaz_legal_bert on the None dataset. It achieves the following results on the evaluation set:

• Loss: 3.3614
• Accuracy: 0.4391

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: 16
• eval_batch_size: 16
• 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	126	1.5970	0.4271
No log	2.0	252	1.3113	0.4571
No log	3.0	378	1.4418	0.4391
0.838	4.0	504	1.8296	0.4491
0.838	5.0	630	2.2183	0.4411
0.838	6.0	756	1.9106	0.4351
0.838	7.0	882	2.4839	0.4451
0.4281	8.0	1008	3.0046	0.4411
0.4281	9.0	1134	3.2039	0.4431
0.4281	10.0	1260	3.3614	0.4391

Framework versions

• Transformers 4.28.1
• Pytorch 2.0.0+cu118
• Datasets 2.11.0
• Tokenizers 0.13.3