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update model card README.md
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README.md
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---
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license: apache-2.0
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tags:
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- generated_from_trainer
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metrics:
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- precision
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- recall
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- f1
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- accuracy
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model-index:
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- name: muril-base-cased-indic_glue
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# muril-base-cased-indic_glue
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This model is a fine-tuned version of [google/muril-base-cased](https://huggingface.co/google/muril-base-cased) on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.6013
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- Precision: 0.8504
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- Recall: 0.8595
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- F1: 0.8549
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- Accuracy: 0.9386
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 5e-05
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- train_batch_size: 32
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- eval_batch_size: 64
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 2
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
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| 1.6533 | 0.31 | 200 | 1.3771 | 0.7055 | 0.7392 | 0.7220 | 0.8935 |
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| 1.2034 | 0.62 | 400 | 1.0141 | 0.8253 | 0.8181 | 0.8217 | 0.9245 |
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| 0.9116 | 0.94 | 600 | 0.7996 | 0.8442 | 0.8286 | 0.8363 | 0.9328 |
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| 0.7435 | 1.25 | 800 | 0.6917 | 0.8291 | 0.8565 | 0.8426 | 0.9325 |
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| 0.645 | 1.56 | 1000 | 0.6281 | 0.8494 | 0.8530 | 0.8512 | 0.9370 |
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| 0.6003 | 1.88 | 1200 | 0.6013 | 0.8504 | 0.8595 | 0.8549 | 0.9386 |
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### Framework versions
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- Transformers 4.29.2
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- Pytorch 2.0.0+cu118
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- Datasets 2.12.0
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- Tokenizers 0.13.3
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