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update model card README.md

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+ ---
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ model-index:
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+ - name: kaz_legal_distilbert_full_corpus_10.0_6
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # kaz_legal_distilbert_full_corpus_10.0_6
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+
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+ This model is a fine-tuned version of [kaisar-barlybay-sse/kaz_legal_distilbert_full_corpus_10.0](https://huggingface.co/kaisar-barlybay-sse/kaz_legal_distilbert_full_corpus_10.0) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 2.1161
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+ - Accuracy: 0.3812
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 4
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+ - eval_batch_size: 4
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 6
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:-----:|:----:|:---------------:|:--------:|
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+ | 1.4011 | 1.0 | 501 | 1.3857 | 0.2974 |
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+ | 1.3922 | 2.0 | 1002 | 1.4143 | 0.3772 |
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+ | 1.285 | 3.0 | 1503 | 1.5145 | 0.3752 |
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+ | 1.0606 | 4.0 | 2004 | 1.6871 | 0.3832 |
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+ | 0.8706 | 5.0 | 2505 | 2.0051 | 0.3852 |
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+ | 0.7318 | 6.0 | 3006 | 2.1161 | 0.3812 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.28.1
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+ - Pytorch 2.0.0+cu118
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+ - Datasets 2.12.0
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+ - Tokenizers 0.13.3