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: xlm_2
+  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_2
+
+This model is a fine-tuned version of [classla/xlm-roberta-base-multilingual-text-genre-classifier](https://huggingface.co/classla/xlm-roberta-base-multilingual-text-genre-classifier) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4441
+- Accuracy: 0.8746
+
+## 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: 4
+- eval_batch_size: 4
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 0.02  | 200  | 0.4441          | 0.8746   |
+| No log        | 0.05  | 400  | 0.6870          | 0.5556   |
+| 0.6128        | 0.07  | 600  | 0.6872          | 0.5556   |
+| 0.6128        | 0.09  | 800  | 0.6870          | 0.5556   |
+| 0.6922        | 0.12  | 1000 | 0.6881          | 0.5556   |
+| 0.6922        | 0.14  | 1200 | 0.6873          | 0.5556   |
+
+
+### Framework versions
+
+- Transformers 4.26.1
+- Pytorch 1.13.1+cu116
+- Datasets 2.10.1
+- Tokenizers 0.13.2