|
--- |
|
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 |
|
|
