---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- xtreme
base_model: bert-base-uncased
model-index:
- name: tamil-ner-model
  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-ner-model

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the xtreme dataset.
It achieves the following results on the evaluation set:
- Loss: 0.5562

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.3527        | 1.0   | 938  | 0.5562          |
| 0.3543        | 2.0   | 1876 | 0.5562          |
| 0.3584        | 3.0   | 2814 | 0.5562          |
| 0.3554        | 4.0   | 3752 | 0.5562          |
| 0.363         | 5.0   | 4690 | 0.5562          |
| 0.3562        | 6.0   | 5628 | 0.5562          |
| 0.3516        | 7.0   | 6566 | 0.5562          |
| 0.3554        | 8.0   | 7504 | 0.5562          |
| 0.3594        | 9.0   | 8442 | 0.5562          |
| 0.3568        | 10.0  | 9380 | 0.5562          |


### Framework versions

- Transformers 4.29.2
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3