File size: 1,966 Bytes
97e9230 799f02d 97e9230 799f02d 97e9230 af6d765 97e9230 799f02d 97e9230 af6d765 97e9230 2a8f585 97e9230 54fe194 97e9230 54fe194 af6d765 97e9230 4d128b5 af6d765 97e9230 2a8f585 97e9230 2a8f585 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 |
---
library_name: transformers
language:
- wo
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
datasets:
- IndabaxSenegal/asr-wolof-dataset
metrics:
- wer
model-index:
- name: Whisper small Wolof
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: ASR Wolof Dataset
type: IndabaxSenegal/asr-wolof-dataset
args: 'config: wo, split: test'
metrics:
- name: Wer
type: wer
value: 51.21087255114581
---
<!-- 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. -->
# Whisper small Wolof
This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the ASR Wolof Dataset dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1760
- Wer: 51.2109
## 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: 1e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 2
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|:-------------:|:-----:|:----:|:---------------:|:-------:|
| 0.0367 | 1.0 | 450 | 1.1685 | 50.4807 |
| 0.0191 | 2.0 | 900 | 1.1760 | 51.2109 |
### Framework versions
- Transformers 4.46.3
- Pytorch 2.4.0
- Datasets 3.1.0
- Tokenizers 0.20.0
|