update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: tluo_xml_roberta_base_amazon_review_sentiment_v3
+  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. -->
+
+# tluo_xml_roberta_base_amazon_review_sentiment_v3
+
+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: 0.9456
+- Accuracy: 0.6023
+
+## 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: 8
+- seed: 123
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 1.056         | 0.33  | 5000  | 0.9885          | 0.5642   |
+| 0.944         | 0.67  | 10000 | 0.9574          | 0.5913   |
+| 0.9505        | 1.0   | 15000 | 0.9674          | 0.579    |
+| 0.8902        | 1.33  | 20000 | 0.9660          | 0.5945   |
+| 0.8851        | 1.67  | 25000 | 0.9470          | 0.5888   |
+| 0.8714        | 2.0   | 30000 | 0.9456          | 0.6023   |
+| 0.7967        | 2.33  | 35000 | 0.9662          | 0.5978   |
+| 0.767         | 2.67  | 40000 | 0.9738          | 0.5987   |
+| 0.7595        | 3.0   | 45000 | 0.9740          | 0.5988   |
+
+
+### Framework versions
+
+- Transformers 4.23.1
+- Pytorch 1.12.1+cu113
+- Tokenizers 0.13.1