alakxender/whisper-small-dv-full

🤗 Hugging Face sourceautomatic-speech-recognitionapache-2.0242M params967 MBsafetensors✓ 2 checksumsupdated today

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whisper-small-dv-full

This model is a fine-tuned version of openai/whisper-small on the arrow dataset. It achieves the following results on the evaluation set:

eval_loss: 0.0273
eval_wer_ortho: 15.8343
eval_wer: 2.3726
eval_runtime: 11624.8972
eval_samples_per_second: 3.774
eval_steps_per_second: 0.079
epoch: 0.6569
step: 4000

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 1e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
distributed_type: multi-GPU
num_devices: 3
total_train_batch_size: 48
total_eval_batch_size: 48
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: constant_with_warmup
lr_scheduler_warmup_steps: 50
training_steps: 4000
mixed_precision_training: Native AMP

Framework versions

Transformers 4.51.3
Pytorch 2.6.0+cu124
Datasets 3.5.0
Tokenizers 0.21.1