update model card README.md

README.md

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+---
+license: cc-by-sa-4.0
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: SloBertAA_Top10_WithoutOOC_NEW
+  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. -->
+
+# SloBertAA_Top10_WithoutOOC_NEW
+
+This model is a fine-tuned version of [EMBEDDIA/sloberta](https://huggingface.co/EMBEDDIA/sloberta) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3475
+- Accuracy: 0.9426
+
+## 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: 2e-05
+- train_batch_size: 12
+- eval_batch_size: 12
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.2904        | 1.0   | 14812 | 0.2680          | 0.9209   |
+| 0.2039        | 2.0   | 29624 | 0.2471          | 0.9332   |
+| 0.1422        | 3.0   | 44436 | 0.2779          | 0.9371   |
+| 0.0888        | 4.0   | 59248 | 0.3324          | 0.9385   |
+| 0.0623        | 5.0   | 74060 | 0.3475          | 0.9426   |
+
+
+### Framework versions
+
+- Transformers 4.26.1
+- Pytorch 1.8.0
+- Datasets 2.10.1
+- Tokenizers 0.13.2