---
tags:
- generated_from_trainer
metrics:
- precision
- recall
- f1
- accuracy
model-index:
- name: transliterate_try
  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. -->

# transliterate_try

This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0770
- Precision: 0.9789
- Recall: 0.9789
- F1: 0.9789
- Accuracy: 0.9789

## 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: 32
- eval_batch_size: 32
- 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 | F1     | Accuracy |
|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
| No log        | 1.0   | 68   | 0.1379          | 0.9535    | 0.9535 | 0.9535 | 0.9535   |
| No log        | 2.0   | 136  | 0.1042          | 0.9661    | 0.9661 | 0.9661 | 0.9661   |
| No log        | 3.0   | 204  | 0.0916          | 0.9718    | 0.9718 | 0.9718 | 0.9718   |
| No log        | 4.0   | 272  | 0.0920          | 0.9724    | 0.9724 | 0.9724 | 0.9724   |
| No log        | 5.0   | 340  | 0.0887          | 0.9746    | 0.9746 | 0.9746 | 0.9746   |
| No log        | 6.0   | 408  | 0.0791          | 0.9770    | 0.9770 | 0.9770 | 0.9770   |
| No log        | 7.0   | 476  | 0.0794          | 0.9779    | 0.9779 | 0.9779 | 0.9779   |
| No log        | 8.0   | 544  | 0.0793          | 0.9783    | 0.9783 | 0.9783 | 0.9783   |
| No log        | 9.0   | 612  | 0.0748          | 0.9796    | 0.9796 | 0.9796 | 0.9796   |
| No log        | 10.0  | 680  | 0.0770          | 0.9789    | 0.9789 | 0.9789 | 0.9789   |


### Framework versions

- Transformers 4.28.1
- Pytorch 1.13.0+cu117
- Datasets 2.11.0
- Tokenizers 0.11.6