update model card README.md

README.md

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----
-license: cc-by-nc-3.0
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+---
+license: mit
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+model-index:
+- name: xlm-ate-nobi-nl-nes
+  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. -->
+
+# xlm-ate-nobi-nl-nes
+
+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: 1.4378
+- Precision: 0.7351
+- Recall: 0.3685
+- F1: 0.4909
+
+## 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: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|
+| 0.149         | 2.98  | 500  | 0.8246          | 0.7421    | 0.3484 | 0.4742 |
+| 0.0395        | 5.95  | 1000 | 0.9936          | 0.7356    | 0.4126 | 0.5286 |
+| 0.0175        | 8.93  | 1500 | 1.1576          | 0.7169    | 0.3854 | 0.5013 |
+| 0.0086        | 11.9  | 2000 | 1.3431          | 0.7321    | 0.3646 | 0.4868 |
+| 0.0054        | 14.88 | 2500 | 1.3987          | 0.7297    | 0.3601 | 0.4822 |
+| 0.0032        | 17.86 | 3000 | 1.4378          | 0.7351    | 0.3685 | 0.4909 |
+
+
+### Framework versions
+
+- Transformers 4.26.1
+- Pytorch 2.0.1+cu117
+- Datasets 2.9.0
+- Tokenizers 0.13.2