update model card README.md

README.md

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+---
+license: apache-2.0
+base_model: distilbert-base-multilingual-cased
+tags:
+- generated_from_trainer
+model-index:
+- name: distilbert-base-multilingual-cased-finetuned-sentiment-albanian
+  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. -->
+
+# distilbert-base-multilingual-cased-finetuned-sentiment-albanian
+
+This model is a fine-tuned version of [distilbert-base-multilingual-cased](https://huggingface.co/distilbert-base-multilingual-cased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3126
+- F1-score: : 0.9393
+- Accuracy score: : 0.8902
+
+## 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: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1-score:  | Accuracy score:  |
+|:-------------:|:-----:|:----:|:---------------:|:----------:|:----------------:|
+| 0.3698        | 1.0   | 149  | 0.3424          | 0.9290     | 0.8675           |
+| 0.2995        | 2.0   | 298  | 0.3174          | 0.9362     | 0.8822           |
+| 0.251         | 3.0   | 447  | 0.3126          | 0.9393     | 0.8902           |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.1
+- Tokenizers 0.13.3