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N_ASR_SMALL – AI Model by fruk19 | AlphaNeural AI
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N_ASR_SMALL
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
th
fruk19/N_asr
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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North_asri
This model is a fine-tuned version of
openai/whisper-small
on the aicookcook dataset. It achieves the following results on the evaluation set:
Loss: 0.0764
Wer: 5.7726
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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
num_epochs: 10
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0486
2.0
6000
0.0722
9.8591
0.0125
4.0
12000
0.0682
6.9130
0.0038
6.0
18000
0.0722
6.3537
0.0019
8.0
24000
0.0752
5.9627
0.0001
10.0
30000
0.0764
5.7726
Framework versions
Transformers 4.41.2
Pytorch 2.0.1+cu117
Datasets 2.20.0
Tokenizers 0.19.1
