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amirsz8203/
whisper-small-fa-finetuned

Name: whisper-small-fa-finetuned
Availability: InStock

transformers

safetensors

whisper

automatic-speech-recognition

generated_from_trainer

amirsz8203/whisper-small-fa-finetuned

finetune

apache-2.0

endpoints_compatible

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whisper-small-fa-finetuned

This model is a fine-tuned version of amirsz8203/whisper-small-fa-finetuned on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.1823
Wer: 24.1495

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: 5e-06
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
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: 50
num_epochs: 2
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.7705	0.3883	200	0.1982	26.0178
0.7718	0.7767	400	0.1909	25.3243
0.5149	1.1650	600	0.1868	24.9082
0.5227	1.5534	800	0.1849	24.6227
0.5441	1.9417	1000	0.1824	24.2147
0.5012	2.0	1030	0.1823	24.1495

Framework versions

Transformers 5.14.1
Pytorch 2.10.0+cu128
Datasets 5.0.1
Tokenizers 0.22.2