update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: xlm-roberta-helpdesk-sentiment
+  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. -->
+
+# xlm-roberta-helpdesk-sentiment
+
+This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1923
+- Accuracy: 0.9556
+- F1: 0.9549
+
+## 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: 2
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 6
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| No log        | 0.88  | 100  | 0.4935          | 0.7889   | 0.7840 |
+| No log        | 1.77  | 200  | 0.2955          | 0.8889   | 0.8867 |
+| No log        | 2.65  | 300  | 0.1830          | 0.9111   | 0.9093 |
+| No log        | 3.54  | 400  | 0.1461          | 0.9444   | 0.9431 |
+| 0.5007        | 4.42  | 500  | 0.1554          | 0.9556   | 0.9549 |
+| 0.5007        | 5.31  | 600  | 0.1923          | 0.9556   | 0.9549 |
+
+
+### Framework versions
+
+- Transformers 4.28.1
+- Pytorch 2.0.1+cu118
+- Datasets 2.14.5
+- Tokenizers 0.13.3