update model card README.md

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: xlm-roberta-base-finetuned-code-mixed-DS
+  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-roberta-base-finetuned-code-mixed-DS
+
+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: 0.8266
+- Accuracy: 0.6318
+- Precision: 0.5781
+- Recall: 0.5978
+- F1: 0.5677
+
+## 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: 4.932923543227153e-05
+- train_batch_size: 16
+- eval_batch_size: 32
+- seed: 43
+- 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 | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 1.0602        | 1.0   | 248  | 1.0280          | 0.5211   | 0.4095    | 0.4557 | 0.3912 |
+| 0.9741        | 1.99  | 496  | 0.9318          | 0.5533   | 0.4758    | 0.5002 | 0.4415 |
+| 0.8585        | 2.99  | 744  | 0.8585          | 0.6076   | 0.5539    | 0.5731 | 0.5353 |
+| 0.7293        | 3.98  | 992  | 0.8266          | 0.6318   | 0.5781    | 0.5978 | 0.5677 |
+
+
+### Framework versions
+
+- Transformers 4.20.1
+- Pytorch 1.10.1+cu111
+- Datasets 2.3.2
+- Tokenizers 0.12.1