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All-lang_tag-whisper-lg-3-Nov30 – AI Model by sqrk | AlphaNeural AI
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All-lang_tag-whisper-lg-3-Nov30
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safetensors
whisper
generated_from_trainer
openai/whisper-large-v3
finetune
apache-2.0
us
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All-lang_tag-whisper-lg-3-Nov30
This model is a fine-tuned version of
openai/whisper-large-v3
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2645
Wer: 27.9006
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: 100
num_epochs: 100
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
1.1839
0.0269
100
0.5312
44.5193
0.4454
0.0538
200
0.4099
38.8729
0.3343
0.0806
300
0.3368
33.5470
0.3345
0.1075
400
0.2912
33.2376
0.3004
0.1344
500
0.2645
27.9006
Framework versions
Transformers 4.43.4
Pytorch 2.4.1
Datasets 3.0.0
Tokenizers 0.19.1
