---
library_name: transformers
language:
- bem
license: cc-by-nc-4.0
base_model: facebook/mms-1b-all
tags:
- generated_from_trainer
datasets:
- BIG_C/Bemba
metrics:
- wer
model-index:
- name: facebook/mms-1b-all
  results:
  - task:
      name: Automatic Speech Recognition
      type: automatic-speech-recognition
    dataset:
      name: BIG_C
      type: BIG_C/Bemba
    metrics:
    - name: Wer
      type: wer
      value: 0.40599536838493866
---

<!-- 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

This model is a fine-tuned version of [facebook/mms-1b-all](https://huggingface.co/facebook/mms-1b-all) on the BIG_C dataset.
It achieves the following results on the evaluation set:
- Loss: 0.3426
- Wer: 0.4060
- Cer: 0.0753

## 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
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step   | Validation Loss | Wer    | Cer    |
|:-------------:|:-----:|:------:|:---------------:|:------:|:------:|
| 0.7367        | 1.0   | 5149   | 0.5238          | 0.4604 | 0.1187 |
| 0.5437        | 2.0   | 10298  | 0.5032          | 0.4461 | 0.1163 |
| 0.5201        | 3.0   | 15447  | 0.4849          | 0.4213 | 0.1092 |
| 0.507         | 4.0   | 20596  | 0.4776          | 0.4179 | 0.1109 |
| 0.4967        | 5.0   | 25745  | 0.4725          | 0.4062 | 0.1066 |
| 0.4889        | 6.0   | 30894  | 0.4758          | 0.3988 | 0.1038 |
| 0.4813        | 7.0   | 36043  | 0.4741          | 0.3888 | 0.1035 |
| 0.4754        | 8.0   | 41192  | 0.4625          | 0.3916 | 0.1055 |
| 0.4703        | 9.0   | 46341  | 0.4572          | 0.3853 | 0.1029 |
| 0.4655        | 10.0  | 51490  | 0.4541          | 0.3924 | 0.1030 |
| 0.4608        | 11.0  | 56639  | 0.4562          | 0.3833 | 0.1024 |
| 0.4569        | 12.0  | 61788  | 0.4540          | 0.3842 | 0.1020 |
| 0.4536        | 13.0  | 66937  | 0.4581          | 0.3709 | 0.0989 |
| 0.4498        | 14.0  | 72086  | 0.4572          | 0.3715 | 0.0991 |
| 0.4463        | 15.0  | 77235  | 0.4547          | 0.3696 | 0.0990 |
| 0.4424        | 16.0  | 82384  | 0.4505          | 0.3703 | 0.0990 |
| 0.439         | 17.0  | 87533  | 0.4494          | 0.3683 | 0.0985 |
| 0.4362        | 18.0  | 92682  | 0.4448          | 0.3648 | 0.0983 |
| 0.4326        | 19.0  | 97831  | 0.4528          | 0.3650 | 0.0984 |
| 0.4304        | 20.0  | 102980 | 0.4428          | 0.3660 | 0.0988 |
| 0.4266        | 21.0  | 108129 | 0.4478          | 0.3633 | 0.0976 |
| 0.4238        | 22.0  | 113278 | 0.4528          | 0.3669 | 0.0978 |
| 0.4212        | 23.0  | 118427 | 0.4478          | 0.3619 | 0.0974 |
| 0.4191        | 24.0  | 123576 | 0.4473          | 0.3596 | 0.0974 |
| 0.416         | 25.0  | 128725 | 0.4535          | 0.3601 | 0.0978 |
| 0.4131        | 26.0  | 133874 | 0.4486          | 0.3591 | 0.0977 |
| 0.4111        | 27.0  | 139023 | 0.4458          | 0.3668 | 0.0981 |
| 0.4084        | 28.0  | 144172 | 0.4482          | 0.3590 | 0.0967 |
| 0.4061        | 29.0  | 149321 | 0.4504          | 0.3541 | 0.0962 |
| 0.4031        | 30.0  | 154470 | 0.4442          | 0.3584 | 0.0967 |
| 0.401         | 31.0  | 159619 | 0.4453          | 0.3596 | 0.0971 |
| 0.3985        | 32.0  | 164768 | 0.4479          | 0.3567 | 0.0964 |
| 0.3966        | 33.0  | 169917 | 0.4464          | 0.3556 | 0.0963 |
| 0.3937        | 34.0  | 175066 | 0.4450          | 0.3525 | 0.0962 |
| 0.392         | 35.0  | 180215 | 0.4415          | 0.3514 | 0.0973 |
| 0.3898        | 36.0  | 185364 | 0.4552          | 0.3532 | 0.0959 |
| 0.3879        | 37.0  | 190513 | 0.4543          | 0.3537 | 0.0978 |
| 0.3861        | 38.0  | 195662 | 0.4484          | 0.3608 | 0.0989 |
| 0.3838        | 39.0  | 200811 | 0.4481          | 0.3534 | 0.0968 |
| 0.3808        | 40.0  | 205960 | 0.4566          | 0.3496 | 0.0979 |
| 0.379         | 41.0  | 211109 | 0.4474          | 0.3495 | 0.0969 |
| 0.3766        | 42.0  | 216258 | 0.4513          | 0.3587 | 0.0995 |
| 0.3753        | 43.0  | 221407 | 0.4571          | 0.3480 | 0.0956 |
| 0.3726        | 44.0  | 226556 | 0.4511          | 0.3480 | 0.0963 |
| 0.3706        | 45.0  | 231705 | 0.4587          | 0.3438 | 0.0944 |
| 0.3688        | 46.0  | 236854 | 0.4585          | 0.3461 | 0.0952 |
| 0.3662        | 47.0  | 242003 | 0.4575          | 0.3530 | 0.0978 |
| 0.3645        | 48.0  | 247152 | 0.4485          | 0.3510 | 0.0966 |
| 0.3628        | 49.0  | 252301 | 0.4624          | 0.3482 | 0.0957 |
| 0.3614        | 50.0  | 257450 | 0.4540          | 0.3557 | 0.0965 |
| 0.3589        | 51.0  | 262599 | 0.4652          | 0.3445 | 0.0947 |
| 0.3584        | 52.0  | 267748 | 0.4611          | 0.3489 | 0.0957 |
| 0.3552        | 53.0  | 272897 | 0.4566          | 0.3464 | 0.0952 |
| 0.3549        | 54.0  | 278046 | 0.4590          | 0.3477 | 0.0961 |
| 0.3526        | 55.0  | 283195 | 0.4550          | 0.3549 | 0.0988 |


### Framework versions

- Transformers 4.47.0.dev0
- Pytorch 2.1.0+cu118
- Datasets 3.1.0
- Tokenizers 0.20.3