update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+model-index:
+- name: xlm-roberta-base-xlmberttest
+  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-base-xlmberttest
+
+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: 0.7300
+
+## 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: 32
+- eval_batch_size: 32
+- 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.9566        | 1.0   | 282  | 0.8288          |
+| 0.8483        | 2.0   | 564  | 0.7726          |
+| 0.8033        | 3.0   | 846  | 0.7617          |
+| 0.7691        | 4.0   | 1128 | 0.7387          |
+| 0.7464        | 5.0   | 1410 | 0.7300          |
+
+
+### Framework versions
+
+- Transformers 4.27.0.dev0
+- Pytorch 1.11.0+cu113
+- Datasets 1.10.3.dev0
+- Tokenizers 0.12.1