update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+metrics:
+- f1
+- accuracy
+model-index:
+- name: romanian_bert-finetuned-on-REDv2-romanian
+  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. -->
+
+# romanian_bert-finetuned-on-REDv2-romanian
+
+This model is a fine-tuned version of [dumitrescustefan/bert-base-romanian-cased-v1](https://huggingface.co/dumitrescustefan/bert-base-romanian-cased-v1) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2788
+- F1: 0.6915
+- Roc Auc: 0.8084
+- Accuracy: 0.5801
+
+## 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: 8
+- eval_batch_size: 8
+- 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 | F1     | Roc Auc | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
+| 0.32          | 1.0   | 511  | 0.2475          | 0.6561 | 0.7697  | 0.5433   |
+| 0.2069        | 2.0   | 1022 | 0.2434          | 0.6661 | 0.7827  | 0.5672   |
+| 0.1433        | 3.0   | 1533 | 0.2548          | 0.6891 | 0.8026  | 0.5856   |
+| 0.0968        | 4.0   | 2044 | 0.2677          | 0.6847 | 0.8050  | 0.5727   |
+| 0.0758        | 5.0   | 2555 | 0.2788          | 0.6915 | 0.8084  | 0.5801   |
+
+
+### Framework versions
+
+- Transformers 4.25.1
+- Pytorch 1.13.0+cu116
+- Datasets 2.8.0
+- Tokenizers 0.13.2