---
library_name: transformers
language:
- zul
license: cc-by-nc-4.0
base_model: facebook/mms-1b-all
tags:
- generated_from_trainer
datasets:
- NCHLT_speech_corpus
metrics:
- wer
model-index:
- name: facebook mms-1b-all zulu - Beijuka Bruno
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: NCHLT_speech_corpus/Zulu
      type: NCHLT_speech_corpus
    metrics:
    - name: Wer
      type: wer
      value: 0.6532026601330067
---

<!-- 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. -->

# facebook mms-1b-all zulu - Beijuka Bruno

This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on the NCHLT_speech_corpus/Zulu dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2443
- Model Preparation Time: 0.0119
- Wer: 0.6532
- Cer: 0.1372

## 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: 0.0003
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 100
- num_epochs: 100

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Model Preparation Time | Wer    | Cer    |
|:-------------:|:-----:|:-----:|:---------------:|:----------------------:|:------:|:------:|
| 2.9828        | 1.0   | 2523  | 0.2050          | 0.0119                 | 0.3254 | 0.0439 |
| 0.2496        | 2.0   | 5046  | 0.1529          | 0.0119                 | 0.2548 | 0.0359 |
| 0.2165        | 3.0   | 7569  | 0.1458          | 0.0119                 | 0.2314 | 0.0314 |
| 0.2017        | 4.0   | 10092 | 0.1427          | 0.0119                 | 0.2376 | 0.0324 |
| 0.1926        | 5.0   | 12615 | 0.1349          | 0.0119                 | 0.2220 | 0.0301 |
| 0.1791        | 6.0   | 15138 | 0.1320          | 0.0119                 | 0.2104 | 0.0296 |
| 0.1704        | 7.0   | 17661 | 0.1294          | 0.0119                 | 0.2200 | 0.0303 |
| 0.1639        | 8.0   | 20184 | 0.1298          | 0.0119                 | 0.2159 | 0.0303 |
| 0.1581        | 9.0   | 22707 | 0.1304          | 0.0119                 | 0.2124 | 0.0295 |
| 0.154         | 10.0  | 25230 | 0.1306          | 0.0119                 | 0.2046 | 0.0284 |
| 0.1489        | 11.0  | 27753 | 0.1291          | 0.0119                 | 0.2032 | 0.0282 |
| 0.1454        | 12.0  | 30276 | 0.1301          | 0.0119                 | 0.2072 | 0.0298 |
| 0.1424        | 13.0  | 32799 | 0.1287          | 0.0119                 | 0.2088 | 0.0293 |
| 0.138         | 14.0  | 35322 | 0.1303          | 0.0119                 | 0.1994 | 0.0279 |
| 0.1368        | 15.0  | 37845 | 0.1292          | 0.0119                 | 0.2267 | 0.0339 |
| 0.1339        | 16.0  | 40368 | 0.1259          | 0.0119                 | 0.2470 | 0.0342 |
| 0.1319        | 17.0  | 42891 | 0.1294          | 0.0119                 | 0.2092 | 0.0291 |
| 0.1285        | 18.0  | 45414 | 0.1324          | 0.0119                 | 0.2023 | 0.0284 |
| 0.125         | 19.0  | 47937 | 0.1307          | 0.0119                 | 0.2059 | 0.0287 |
| 0.1234        | 20.0  | 50460 | 0.1283          | 0.0119                 | 0.2048 | 0.0290 |
| 0.1197        | 21.0  | 52983 | 0.1273          | 0.0119                 | 0.2068 | 0.0288 |
| 0.1196        | 22.0  | 55506 | 0.1306          | 0.0119                 | 0.2126 | 0.0293 |
| 0.1157        | 23.0  | 58029 | 0.1302          | 0.0119                 | 0.2050 | 0.0289 |
| 0.1134        | 24.0  | 60552 | 0.1289          | 0.0119                 | 0.2061 | 0.0287 |


### Framework versions

- Transformers 4.47.0
- Pytorch 2.1.0+cu118
- Datasets 3.2.0
- Tokenizers 0.21.0