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finetune_v3 – AI Model by tz3 | AlphaNeural AI
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tz3
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finetune_v3
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-large-v3
finetune
apache-2.0
endpoints_compatible
us
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finetune_v3
This model is a fine-tuned version of
openai/whisper-large-v3
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1775
Wer: 13.8249
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: 4
seed: 42
distributed_type: multi-GPU
gradient_accumulation_steps: 4
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: 5
training_steps: 40
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
No log
6.6667
10
0.2449
19.8157
No log
13.3333
20
0.1967
14.5161
No log
20.0
30
0.1821
14.2857
No log
26.6667
40
0.1775
13.8249
Framework versions
Transformers 4.42.3
Pytorch 2.2.0
Datasets 2.20.0
Tokenizers 0.19.1
