update model card README.md

README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: muril-base-cased-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. -->
+
+# muril-base-cased-finetuned-code-mixed-DS
+
+This model is a fine-tuned version of [google/muril-base-cased](https://huggingface.co/google/muril-base-cased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0780
+- Accuracy: 0.5030
+- Precision: 0.3506
+- Recall: 0.4661
+- F1: 0.3695
+
+## 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: 1e-06
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 43
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 1.0982        | 1.98  | 248  | 1.0974          | 0.1952   | 0.3968    | 0.3371 | 0.1140 |
+| 1.0951        | 3.97  | 496  | 1.0909          | 0.4366   | 0.3352    | 0.4386 | 0.3319 |
+| 1.0877        | 5.95  | 744  | 1.0837          | 0.4950   | 0.3491    | 0.4680 | 0.3664 |
+| 1.0826        | 7.94  | 992  | 1.0798          | 0.5050   | 0.3503    | 0.4673 | 0.3705 |
+| 1.0793        | 9.92  | 1240 | 1.0780          | 0.5030   | 0.3506    | 0.4661 | 0.3695 |
+
+
+### Framework versions
+
+- Transformers 4.20.1
+- Pytorch 1.10.1+cu111
+- Datasets 2.3.2
+- Tokenizers 0.12.1