update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: rm23_ctry_v2lr
+  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. -->
+
+# rm23_ctry_v2lr
+
+This model is a fine-tuned version of [cardiffnlp/twitter-xlm-roberta-base](https://huggingface.co/cardiffnlp/twitter-xlm-roberta-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2185
+- F1: 0.9566
+
+## 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: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 4
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | F1     |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|
+| 0.2088        | 1.0   | 17996 | 0.1879          | 0.9311 |
+| 0.1477        | 2.0   | 35992 | 0.1772          | 0.9467 |
+| 0.1006        | 3.0   | 53988 | 0.2101          | 0.9508 |
+| 0.0615        | 4.0   | 71984 | 0.2185          | 0.9566 |
+
+
+### Framework versions
+
+- Transformers 4.29.1
+- Pytorch 1.13.1
+- Datasets 2.12.0
+- Tokenizers 0.13.3