update model card README.md

README.md

@@ -0,0 +1,63 @@
+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: kaz_legal_bert_5_6
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# kaz_legal_bert_5_6
+
+This model is a fine-tuned version of [kaisar-barlybay-sse/kaz_legal_bert_5](https://huggingface.co/kaisar-barlybay-sse/kaz_legal_bert_5) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.3860
+- Accuracy: 0.3273
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.3921        | 1.0   | 501  | 1.3862          | 0.3074   |
+| 1.3945        | 2.0   | 1002 | 1.3860          | 0.3293   |
+| 1.3914        | 3.0   | 1503 | 1.3863          | 0.3094   |
+| 1.3972        | 4.0   | 2004 | 1.3862          | 0.3214   |
+| 1.3969        | 5.0   | 2505 | 1.3862          | 0.3273   |
+| 1.3944        | 6.0   | 3006 | 1.3860          | 0.3273   |
+
+
+### Framework versions
+
+- Transformers 4.28.1
+- Pytorch 2.0.0+cu118
+- Datasets 2.11.0
+- Tokenizers 0.13.3