---
license: other
tags:
- generated_from_trainer
base_model: boun-tabi-LMG/TURNA
metrics:
- rouge
- bleu
model-index:
- name: TURNA_spell_correction_general_turkish
  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. -->

# TURNA_spell_correction_general_turkish

This model is a fine-tuned version of [boun-tabi-LMG/TURNA](https://huggingface.co/boun-tabi-LMG/TURNA) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1739
- Rouge1: 0.6731
- Rouge2: 0.3509
- Rougel: 0.6734
- Rougelsum: 0.6734
- Bleu: 0.0
- Precisions: [0.724791169451074, 0.875, 0.9080188679245284, 0.0]
- Brevity Penalty: 0.9975
- Length Ratio: 0.9975
- Translation Length: 6704
- Reference Length: 6721
- Meteor: 0.4269
- Score: 27.9423
- Num Edits: 1878
- Ref Length: 6721.0

## 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: 5e-05
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch  | Step  | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Bleu | Precisions                                                        | Brevity Penalty | Length Ratio | Translation Length | Reference Length | Meteor | Score   | Num Edits | Ref Length |
|:-------------:|:------:|:-----:|:---------------:|:------:|:------:|:------:|:---------:|:----:|:-----------------------------------------------------------------:|:---------------:|:------------:|:------------------:|:----------------:|:------:|:-------:|:---------:|:----------:|
| No log        | 0.3334 | 1407  | 0.3554          | 0.5067 | 0.2640 | 0.5068 | 0.5068    | 0.0  | [0.5543951692734113, 0.681206764027671, 0.620919881305638, 0.0]   | 1.0             | 1.0039       | 20204              | 20126            | 0.3130 | 45.8213 | 9222      | 20126.0    |
| No log        | 0.6668 | 2814  | 0.2851          | 0.5589 | 0.2938 | 0.5590 | 0.5591    | 0.0  | [0.612387263939409, 0.7749062931544684, 0.7614457831325301, 0.0]  | 0.9972          | 0.9972       | 20069              | 20126            | 0.3509 | 39.5906 | 7968      | 20126.0    |
| 0.5458        | 1.0002 | 4221  | 0.2465          | 0.5908 | 0.3104 | 0.5914 | 0.5912    | 0.0  | [0.6474730323611666, 0.8186703821656051, 0.8253452477660439, 0.0] | 0.9949          | 0.9949       | 20024              | 20126            | 0.3739 | 36.0330 | 7252      | 20126.0    |
| 0.5458        | 1.3336 | 5628  | 0.2302          | 0.6130 | 0.3223 | 0.6133 | 0.6135    | 0.0  | [0.6655887766777773, 0.8296412468143501, 0.8471337579617835, 0.0] | 0.9988          | 0.9988       | 20101              | 20126            | 0.3876 | 34.1002 | 6863      | 20126.0    |
| 0.5458        | 1.6671 | 7035  | 0.2101          | 0.6242 | 0.3262 | 0.6241 | 0.6246    | 0.0  | [0.6759966072943172, 0.8334324806662701, 0.8369652945924132, 0.0] | 0.9959          | 0.9959       | 20043              | 20126            | 0.3936 | 33.0965 | 6661      | 20126.0    |
| 0.1935        | 2.0005 | 8442  | 0.1931          | 0.6498 | 0.3415 | 0.6501 | 0.6502    | 0.0  | [0.6969411063660741, 0.8487738419618529, 0.8557993730407524, 0.0] | 1.0             | 1.0006       | 20138              | 20126            | 0.4097 | 30.8457 | 6208      | 20126.0    |
| 0.1935        | 2.3339 | 9849  | 0.1939          | 0.6500 | 0.3443 | 0.6502 | 0.6502    | 0.0  | [0.7011294094233544, 0.8635026475779565, 0.8777602523659306, 0.0] | 0.9987          | 0.9987       | 20099              | 20126            | 0.4120 | 30.3886 | 6116      | 20126.0    |
| 0.1935        | 2.6673 | 11256 | 0.1864          | 0.6615 | 0.3467 | 0.6615 | 0.6621    | 0.0  | [0.7094416546512206, 0.8591824760414629, 0.8735271013354281, 0.0] | 0.9994          | 0.9994       | 20113              | 20126            | 0.4178 | 29.5439 | 5946      | 20126.0    |
| 0.1135        | 3.0007 | 12663 | 0.1746          | 0.6729 | 0.3488 | 0.6734 | 0.6735    | 0.0  | [0.7206584444002387, 0.8674628034455756, 0.8738244514106583, 0.0] | 0.9991          | 0.9991       | 20108              | 20126            | 0.4253 | 28.3961 | 5715      | 20126.0    |
| 0.1135        | 3.3341 | 14070 | 0.1846          | 0.6750 | 0.3540 | 0.6753 | 0.6753    | 0.0  | [0.7217659648598875, 0.8744843842074249, 0.8928571428571429, 0.0] | 0.9983          | 0.9983       | 20091              | 20126            | 0.4260 | 28.2918 | 5694      | 20126.0    |
| 0.1135        | 3.6675 | 15477 | 0.1806          | 0.6827 | 0.3566 | 0.6830 | 0.6829    | 0.0  | [0.7288599283724632, 0.8759796238244514, 0.8909090909090909, 0.0] | 0.9989          | 0.9989       | 20104              | 20126            | 0.4308 | 27.5465 | 5544      | 20126.0    |
| 0.0672        | 4.0009 | 16884 | 0.1758          | 0.6872 | 0.3617 | 0.6873 | 0.6874    | 0.0  | [0.7345353122820998, 0.8853879480110279, 0.9000793021411578, 0.0] | 0.9976          | 0.9976       | 20078              | 20126            | 0.4341 | 26.9701 | 5428      | 20126.0    |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.1+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1