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whisper-tiny.en-fsc-v1-t_70 – AI Model by gokulsrinivasagan | AlphaNeural AI
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gokulsrinivasagan
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whisper-tiny.en-fsc-v1-t_70
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transformers
tensorboard
safetensors
whisper
audio-classification
generated_from_trainer
openai/whisper-tiny.en
finetune
apache-2.0
endpoints_compatible
us
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whisper-tiny.en-fsc-v1-t_70
This model is a fine-tuned version of
openai/whisper-tiny.en
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0188
Accuracy: 0.9934
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: 0.0005
train_batch_size: 48
eval_batch_size: 48
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 192
optimizer: Use 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_ratio: 0.1
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
121
0.1259
0.9668
No log
2.0
242
0.0475
0.9871
No log
2.9793
360
0.0188
0.9934
Framework versions
Transformers 4.51.2
Pytorch 2.6.0+cu126
Datasets 3.5.0
Tokenizers 0.21.1
