update model card README.md

README.md

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+---
+license: cc-by-4.0
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: hing-mbert-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. -->
+
+# hing-mbert-finetuned-code-mixed-DS
+
+This model is a fine-tuned version of [l3cube-pune/hing-mbert](https://huggingface.co/l3cube-pune/hing-mbert) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.0518
+- Accuracy: 0.7545
+- Precision: 0.7041
+- Recall: 0.7076
+- F1: 0.7053
+
+## 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: 2.7277800745684633e-05
+- train_batch_size: 8
+- eval_batch_size: 8
+- seed: 43
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.8338        | 1.0   | 497  | 0.6922          | 0.7163   | 0.6697    | 0.6930 | 0.6686 |
+| 0.5744        | 2.0   | 994  | 0.7872          | 0.7324   | 0.6786    | 0.6967 | 0.6845 |
+| 0.36          | 3.0   | 1491 | 1.0518          | 0.7545   | 0.7041    | 0.7076 | 0.7053 |
+
+
+### Framework versions
+
+- Transformers 4.21.3
+- Pytorch 1.12.1+cu113
+- Datasets 2.4.0
+- Tokenizers 0.12.1