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horhh/
whisper-small-SIT_05_05_26_0405

Name: whisper-small-SIT_05_05_26_0405
Availability: InStock

automatic-speech-recognition

generated_from_trainer

Pengwin30/whisper-small-fine-tuned

finetune

mit

endpoints_compatible

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whisper-small-SIT_05_05_26_0405

This model is a fine-tuned version of Pengwin30/whisper-small-fine-tuned on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.9077
Wer: 9.4340

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-06
train_batch_size: 8
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
7.8414	1.0	22	3.5296	12.5786
6.7650	2.0	44	2.8799	9.4340
4.9993	3.0	66	1.9077	9.4340

Framework versions

Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 2.19.0
Tokenizers 0.22.2

horhh/whisper-small-SIT_05_05_26_0405

whisper-small-SIT_05_05_26_0405

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

horhh/
whisper-small-SIT_05_05_26_0405