update model card README.md

README.md

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+---
+base_model: citizenlab/twitter-xlm-roberta-base-sentiment-finetunned
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: hihu5
+  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. -->
+
+# hihu5
+
+This model is a fine-tuned version of [citizenlab/twitter-xlm-roberta-base-sentiment-finetunned](https://huggingface.co/citizenlab/twitter-xlm-roberta-base-sentiment-finetunned) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0390
+- Accuracy: 0.7183
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 600
+- num_epochs: 3.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.2366        | 1.0   | 1648 | 1.4637          | 0.7124   |
+| 0.2066        | 2.0   | 3296 | 1.5003          | 0.7185   |
+| 0.2624        | 3.0   | 4944 | 1.0390          | 0.7183   |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.0.1+cpu
+- Datasets 2.14.4
+- Tokenizers 0.13.0