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whisper-model-small-ro-finetune-5k-50-50 – AI Model by victors3136 | AlphaNeural AI
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whisper-model-small-ro-finetune-5k-50-50
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peft
safetensors
generated_from_trainer
ro
victors3136/dataset-5k-50it-50sp
openai/whisper-small
adapter
apache-2.0
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whisper-model-small-ro-finetune-5k-50-50
This model is a fine-tuned version of
openai/whisper-small
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 1.0462
Wer: 0.2851
Cer: 0.0710
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: 2e-05
train_batch_size: 32
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 64
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: 30
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
Cer
2.5278
1.0
125
1.3356
0.7715
0.8917
1.5011
2.0
250
1.1585
0.5180
0.3362
1.4233
3.0
375
1.0967
0.3243
0.1098
1.3585
4.0
500
1.0608
0.2867
0.0722
1.3203
5.0
625
1.0462
0.2851
0.0710
Framework versions
PEFT 0.15.2
Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 3.6.0
Tokenizers 0.21.1
