update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+model-index:
+- name: bert-incl
+  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. -->
+
+# bert-incl
+
+This model is a fine-tuned version of [dbmdz/bert-base-italian-cased](https://huggingface.co/dbmdz/bert-base-italian-cased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0004
+- Acc: 1.0
+- F1 Macro: 1.0
+- F1 Weight: 1.0
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 20
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Acc    | F1 Macro | F1 Weight |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|:---------:|
+| 0.684         | 0.67  | 20   | 0.6378          | 0.5588 | 0.3585   | 0.4007    |
+| 0.4681        | 1.33  | 40   | 0.1762          | 0.9559 | 0.9547   | 0.9556    |
+| 0.0989        | 2.0   | 60   | 0.0058          | 1.0    | 1.0      | 1.0       |
+| 0.0032        | 2.67  | 80   | 0.0009          | 1.0    | 1.0      | 1.0       |
+| 0.0011        | 3.33  | 100  | 0.0005          | 1.0    | 1.0      | 1.0       |
+| 0.0007        | 4.0   | 120  | 0.0004          | 1.0    | 1.0      | 1.0       |
+| 0.0007        | 4.67  | 140  | 0.0004          | 1.0    | 1.0      | 1.0       |
+
+
+### Framework versions
+
+- Transformers 4.28.1
+- Pytorch 2.0.0+cu118
+- Datasets 2.12.0
+- Tokenizers 0.13.3