metadata
library_name: transformers
license: apache-2.0
base_model: openai/whisper-small
tags:
- generated_from_trainer
datasets:
- sawadogosalif/MooreFRCollectionsAudios
metrics:
- wer
model-index:
- name: SaCHi_ASR
results:
- task:
name: Automatic Speech Recognition
type: automatic-speech-recognition
dataset:
name: sawadogosalif/MooreFRCollectionsAudios
type: sawadogosalif/MooreFRCollectionsAudios
args: 'config: train, split: train'
metrics:
- name: Wer
type: wer
value: 21.311061768268065
SaCHi_ASR
This model is a fine-tuned version of openai/whisper-small on the sawadogosalif/MooreFRCollectionsAudios dataset. It achieves the following results on the evaluation set:
- Loss: 0.2234
- Wer: 21.3111
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: 16
- seed: 42
- optimizer: Use OptimizerNames.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: 250
- training_steps: 2000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Wer |
|---|---|---|---|---|
| 0.4253 | 0.4657 | 400 | 0.4046 | 34.3409 |
| 0.2789 | 0.9313 | 800 | 0.2871 | 24.3238 |
| 0.2239 | 1.3970 | 1200 | 0.2498 | 19.3530 |
| 0.2122 | 1.8626 | 1600 | 0.2270 | 23.5416 |
| 0.1209 | 2.3283 | 2000 | 0.2234 | 21.3111 |
Framework versions
- Transformers 4.50.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1