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asr_temp – AI Model by miosipof | AlphaNeural AI
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miosipof
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asr_temp
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peft
safetensors
generated_from_trainer
it
audiofolder
openai/whisper-small
adapter
apache-2.0
us
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asr_temp
This model is a fine-tuned version of
openai/whisper-small
on the audiofolder dataset. It achieves the following results on the evaluation set:
Loss: 8.6960
Wer: 225.1852
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: 0.001
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
training_steps: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
8.5666
0.1408
5
8.6960
225.1852
Framework versions
PEFT 0.13.2
Transformers 4.44.2
Pytorch 2.2.0
Datasets 3.1.0
Tokenizers 0.19.1
