---
license: cc-by-4.0
base_model: l3cube-pune/tamil-bert
tags:
- generated_from_trainer
metrics:
- precision
- recall
- accuracy
model-index:
- name: Tamil-BERT-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. -->

# Tamil-BERT-finetune-Tamil-questions

This model is a fine-tuned version of [l3cube-pune/tamil-bert](https://huggingface.co/l3cube-pune/tamil-bert) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3564
- Precision: 0.9226
- Recall: 0.9218
- Accuracy: 0.9218
- F1-score: 0.9220

## 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: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | Accuracy | F1-score |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:--------:|:--------:|
| 1.534         | 1.0   | 305  | 1.2125          | 0.8686    | 0.8778 | 0.8778   | 0.8701   |
| 0.937         | 2.0   | 610  | 0.7374          | 0.8869    | 0.8958 | 0.8958   | 0.8899   |
| 0.5335        | 3.0   | 915  | 0.4742          | 0.8959    | 0.9078 | 0.9078   | 0.9007   |
| 0.3097        | 4.0   | 1220 | 0.3972          | 0.9004    | 0.9138 | 0.9138   | 0.9064   |
| 0.2083        | 5.0   | 1525 | 0.3869          | 0.9103    | 0.9058 | 0.9058   | 0.9018   |
| 0.1535        | 6.0   | 1830 | 0.4181          | 0.9115    | 0.9078 | 0.9078   | 0.9087   |
| 0.1222        | 7.0   | 2135 | 0.3576          | 0.9243    | 0.9238 | 0.9238   | 0.9240   |
| 0.1002        | 8.0   | 2440 | 0.3564          | 0.9226    | 0.9218 | 0.9218   | 0.9220   |


### Framework versions

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