---
license: apache-2.0
base_model: google/muril-base-cased
tags:
- generated_from_trainer
metrics:
- precision
- recall
- accuracy
model-index:
- name: Muril-base-finetune-Tamil-questions
  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-finetune-Tamil-questions

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: 0.4081
- Precision: 0.9205
- Recall: 0.9198
- Accuracy: 0.9198
- F1-score: 0.9199

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- 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 | Precision | Recall | Accuracy | F1-score |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:--------:|:--------:|
| 1.5732        | 1.0   | 305  | 1.2601          | 0.8743    | 0.8858 | 0.8858   | 0.8790   |
| 0.9937        | 2.0   | 610  | 0.7465          | 0.8988    | 0.9098 | 0.9098   | 0.9033   |
| 0.5354        | 3.0   | 915  | 0.4557          | 0.9044    | 0.9158 | 0.9158   | 0.9092   |
| 0.2862        | 4.0   | 1220 | 0.3772          | 0.9198    | 0.9198 | 0.9198   | 0.9193   |
| 0.1724        | 5.0   | 1525 | 0.3306          | 0.9274    | 0.9259 | 0.9259   | 0.9261   |
| 0.1235        | 6.0   | 1830 | 0.3763          | 0.9214    | 0.9158 | 0.9158   | 0.9171   |
| 0.0902        | 7.0   | 2135 | 0.3808          | 0.9229    | 0.9218 | 0.9218   | 0.9219   |
| 0.0644        | 8.0   | 2440 | 0.3974          | 0.9229    | 0.9218 | 0.9218   | 0.9220   |
| 0.0575        | 9.0   | 2745 | 0.3930          | 0.9224    | 0.9218 | 0.9218   | 0.9218   |
| 0.0483        | 10.0  | 3050 | 0.4081          | 0.9205    | 0.9198 | 0.9198   | 0.9199   |


### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.2
- Datasets 2.18.0
- Tokenizers 0.15.2