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README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+model-index:
+- name: xlm-roberta-base-finetuned
+  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-finetuned
+
+This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 0.4852
+- eval_f1: 0.8009
+- eval_accuracy: 0.901
+- eval_runtime: 13.6483
+- eval_samples_per_second: 366.347
+- eval_steps_per_second: 22.933
+- epoch: 5.0
+- step: 3595
+
+## 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: 7.889038893287002e-06
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 37
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Framework versions
+
+- Transformers 4.18.0
+- Pytorch 1.10.2+cu113
+- Datasets 2.4.0
+- Tokenizers 0.12.1