update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: indic-bert-finetuned-legal_try_with_muril_more_ft
+  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. -->
+
+# indic-bert-finetuned-legal_try_with_muril_more_ft
+
+This model was trained from scratch on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4640
+- Accuracy: 0.7865
+- F1: 0.7846
+
+## 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: 16
+- eval_batch_size: 32
+- seed: 42
+- 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 | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 0.4266        | 1.0   | 625  | 0.4652          | 0.7925   | 0.7892 |
+| 0.4163        | 2.0   | 1250 | 0.4640          | 0.7905   | 0.7868 |
+| 0.4085        | 3.0   | 1875 | 0.4640          | 0.788    | 0.7867 |
+| 0.4043        | 4.0   | 2500 | 0.4640          | 0.7865   | 0.7846 |
+
+
+### Framework versions
+
+- Transformers 4.13.0
+- Pytorch 1.12.1+cu113
+- Datasets 1.16.1
+- Tokenizers 0.10.3