update model card README.md

README.md

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----
-license: cc-by-nc-2.0
----
+---
+license: mit
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+model-index:
+- name: xlm-ate-nobi-mul
+  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-mul
+
+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: 0.6371
+- Precision: 0.0
+- Recall: 0.0
+- F1: 0
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:--:|
+| 0.2817        | 0.45  | 500  | 0.4949          | 0.0       | 0.0    | 0  |
+| 0.1887        | 0.91  | 1000 | 0.5226          | 0.0       | 0.0    | 0  |
+| 0.1493        | 1.36  | 1500 | 0.5965          | 0.0       | 0.0    | 0  |
+| 0.1335        | 1.82  | 2000 | 0.6271          | 0.0       | 0.0    | 0  |
+| 0.1166        | 2.27  | 2500 | 0.7660          | 0.0       | 0.0    | 0  |
+| 0.1057        | 2.72  | 3000 | 0.6371          | 0.0       | 0.0    | 0  |
+
+
+### Framework versions
+
+- Transformers 4.26.1
+- Pytorch 2.0.1+cu117
+- Datasets 2.9.0
+- Tokenizers 0.13.2