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l3-whisper-small-l2v191hc_v7 – AI Model by mondhs | AlphaNeural AI
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l3-whisper-small-l2v191hc_v7
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
audiofolder
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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l3-whisper-small-l2v191hc_v7
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: 0.4946
Wer: 37.5622
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: 1
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
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_steps: 500
num_epochs: 1
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.8509
0.2681
500
0.6732
51.0053
0.4306
0.5362
1000
0.5383
40.4141
0.3579
0.8043
1500
0.4946
37.5622
Framework versions
Transformers 4.51.3
Pytorch 2.2.1
Datasets 3.6.0
Tokenizers 0.21.2
