update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+model-index:
+- name: kaz_legal_bert_full__1000000_wc__0.4_epoch
+  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_full__1000000_wc__0.4_epoch
+
+This model was trained from scratch on an unknown dataset.
+It achieves the following results on the evaluation set:
+- epoch: 0.38
+- eval_loss: nan
+- eval_runtime: 8161.8113
+- eval_samples_per_second: 56.629
+- eval_steps_per_second: 14.157
+- step: 90000
+
+## 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
+- gradient_accumulation_steps: 8
+- total_train_batch_size: 32
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Framework versions
+
+- Transformers 4.28.1
+- Pytorch 2.0.0+cu118
+- Datasets 2.12.0
+- Tokenizers 0.13.3