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finetune_v6 – AI Model by tz3 | AlphaNeural AI
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tz3
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finetune_v6
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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_v6
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: 0.3628
Wer: 24.6544
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: 5e-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
0.2278
15.2074
No log
13.3333
20
0.3188
20.2765
No log
20.0
30
0.3442
29.7235
No log
26.6667
40
0.3628
24.6544
Framework versions
Transformers 4.42.3
Pytorch 2.2.0
Datasets 2.20.0
Tokenizers 0.19.1
