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

sheickydollar/SaChi-ASR

SaCHi_ASR

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

sheickydollar/
SaChi-ASR