update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: rtmex23-pol4-cardif
+  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. -->
+
+# rtmex23-pol4-cardif
+
+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: 0.6787
+- F1: 0.8463
+
+## 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
+- lr_scheduler_warmup_steps: 500
+- num_epochs: 8
+
+### Training results
+
+| Training Loss | Epoch | Step   | Validation Loss | F1     |
+|:-------------:|:-----:|:------:|:---------------:|:------:|
+| 0.7006        | 1.0   | 17996  | 0.6293          | 0.6758 |
+| 0.5558        | 2.0   | 35992  | 0.5515          | 0.7590 |
+| 0.4566        | 3.0   | 53988  | 0.5066          | 0.7939 |
+| 0.3855        | 4.0   | 71984  | 0.4959          | 0.8217 |
+| 0.3258        | 5.0   | 89980  | 0.5075          | 0.8200 |
+| 0.2744        | 6.0   | 107976 | 0.5251          | 0.8409 |
+| 0.2322        | 7.0   | 125972 | 0.5889          | 0.8461 |
+| 0.2029        | 8.0   | 143968 | 0.6787          | 0.8463 |
+
+
+### Framework versions
+
+- Transformers 4.29.1
+- Pytorch 1.13.1
+- Datasets 2.12.0
+- Tokenizers 0.13.3