update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+model-index:
+- name: xlm-roberta-base-finetuned-osdg
+  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-osdg
+
+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:
+- Loss: 0.6747
+- Acc: 0.8296
+
+## 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: 6e-07
+- 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: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Acc    |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.552         | 1.0   | 509  | 0.6801          | 0.8229 |
+| 0.5261        | 2.0   | 1018 | 0.6821          | 0.8218 |
+| 0.5518        | 3.0   | 1527 | 0.6770          | 0.8246 |
+| 0.4856        | 4.0   | 2036 | 0.6781          | 0.8279 |
+| 0.5427        | 5.0   | 2545 | 0.6748          | 0.8318 |
+| 0.5049        | 6.0   | 3054 | 0.6769          | 0.8290 |
+| 0.5155        | 7.0   | 3563 | 0.6756          | 0.8307 |
+| 0.503         | 8.0   | 4072 | 0.6763          | 0.8296 |
+| 0.5009        | 9.0   | 4581 | 0.6741          | 0.8301 |
+| 0.555         | 10.0  | 5090 | 0.6747          | 0.8296 |
+
+
+### Framework versions
+
+- Transformers 4.19.2
+- Pytorch 1.11.0+cu113
+- Datasets 2.2.2
+- Tokenizers 0.12.1