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whisper-finetuned-small – AI Model by idaracecilia | AlphaNeural AI | AlphaNeural AI
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whisper-finetuned-small
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tensorboard
safetensors
whisper
generated_from_trainer
eng
fyp
openai/whisper-small
finetune
apache-2.0
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Whisper Fine tuned Small
This model is a fine-tuned version of
openai/whisper-small
on the Fyp Dataset dataset. It achieves the following results on the evaluation set:
Loss: 0.1965
Wer: 11.2724
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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2
training_steps: 102
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.1398
0.4
20
0.2211
13.1623
0.0941
0.8
40
0.2144
11.8124
0.048
1.2
60
0.1997
11.2386
0.0481
1.6
80
0.1979
11.3736
0.0337
2.0
100
0.1965
11.2724
Framework versions
Transformers 4.44.0
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1
