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: hihu3
+  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. -->
+
+# hihu3
+
+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: 0.7639
+- Accuracy: 0.7314
+
+## 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: 1e-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: 5.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.7062        | 1.0   | 1648 | 0.6899          | 0.7165   |
+| 0.6047        | 2.0   | 3296 | 0.6696          | 0.7271   |
+| 0.5057        | 3.0   | 4944 | 0.6754          | 0.7341   |
+| 0.4325        | 4.0   | 6592 | 0.7141          | 0.7305   |
+| 0.4025        | 5.0   | 8240 | 0.7639          | 0.7314   |
+
+
+### Framework versions
+
+- Transformers 4.31.0
+- Pytorch 2.0.1+cpu
+- Datasets 2.14.4
+- Tokenizers 0.13.0