---
base_model: Samuael/geez_15k_sc_mt5
tags:
- generated_from_trainer
metrics:
- wer
- bleu
model-index:
- name: geez_15k_sc_mt5
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# geez_15k_sc_mt5

This model is a fine-tuned version of [Samuael/geez_15k_sc_mt5](https://huggingface.co/Samuael/geez_15k_sc_mt5) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8105
- Wer: 0.2849
- Cer: 0.1373
- Bleu: 57.6756

## 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: 0.0002
- train_batch_size: 128
- eval_batch_size: 128
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss | Wer    | Cer    | Bleu    |
|:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:-------:|
| 0.9418        | 1.0   | 57   | 0.8984          | 0.4204 | 0.1872 | 42.5936 |
| 0.6386        | 2.0   | 114  | 0.6856          | 0.3535 | 0.1563 | 48.7013 |
| 0.6169        | 3.0   | 171  | 0.6101          | 0.3137 | 0.1256 | 52.0856 |
| 0.428         | 4.0   | 228  | 0.5921          | 0.3125 | 0.1365 | 53.1328 |
| 0.354         | 5.0   | 285  | 0.5692          | 0.2807 | 0.1096 | 55.5660 |
| 0.2604        | 6.0   | 342  | 0.5947          | 0.2818 | 0.1098 | 55.6749 |
| 0.2797        | 7.0   | 399  | 0.5874          | 0.2896 | 0.1203 | 55.5685 |
| 0.2372        | 8.0   | 456  | 0.5978          | 0.2829 | 0.1206 | 56.3162 |
| 0.1863        | 9.0   | 513  | 0.6046          | 0.2808 | 0.1188 | 56.7817 |
| 0.1595        | 10.0  | 570  | 0.6295          | 0.2615 | 0.1006 | 58.1387 |
| 0.1269        | 11.0  | 627  | 0.6548          | 0.2721 | 0.1157 | 57.4783 |
| 0.1421        | 12.0  | 684  | 0.6572          | 0.2734 | 0.1164 | 57.7264 |
| 0.1475        | 13.0  | 741  | 0.6673          | 0.2809 | 0.1204 | 57.1626 |
| 0.1201        | 14.0  | 798  | 0.6996          | 0.2835 | 0.1271 | 57.0274 |
| 0.0777        | 15.0  | 855  | 0.7227          | 0.2634 | 0.1071 | 58.3844 |
| 0.075         | 16.0  | 912  | 0.7295          | 0.2607 | 0.1050 | 58.7280 |
| 0.092         | 17.0  | 969  | 0.7404          | 0.2633 | 0.1062 | 58.7387 |
| 0.0795        | 18.0  | 1026 | 0.7437          | 0.2842 | 0.1297 | 57.4888 |
| 0.0933        | 19.0  | 1083 | 0.7513          | 0.2765 | 0.1207 | 57.8567 |
| 0.0794        | 20.0  | 1140 | 0.7620          | 0.2718 | 0.1165 | 58.1063 |
| 0.0559        | 21.0  | 1197 | 0.7543          | 0.2526 | 0.0999 | 59.4966 |
| 0.0616        | 22.0  | 1254 | 0.7885          | 0.2664 | 0.1126 | 58.7126 |
| 0.0666        | 23.0  | 1311 | 0.7734          | 0.2774 | 0.1215 | 57.7048 |
| 0.0746        | 24.0  | 1368 | 0.7832          | 0.2764 | 0.1225 | 58.0553 |
| 0.0644        | 25.0  | 1425 | 0.7872          | 0.2799 | 0.1273 | 57.9207 |
| 0.0596        | 26.0  | 1482 | 0.8184          | 0.2721 | 0.1197 | 58.1888 |
| 0.0507        | 27.0  | 1539 | 0.8053          | 0.2765 | 0.1226 | 58.1358 |
| 0.0585        | 28.0  | 1596 | 0.8091          | 0.2806 | 0.1293 | 57.9993 |
| 0.0595        | 29.0  | 1653 | 0.8147          | 0.2888 | 0.1416 | 57.4399 |
| 0.0469        | 30.0  | 1710 | 0.8105          | 0.2849 | 0.1373 | 57.6756 |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2