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finetune_v2 – AI Model by tz3 | AlphaNeural AI
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tz3
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finetune_v2
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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_v2
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: 0.2649
Wer: 0.5208
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-06
train_batch_size: 32
eval_batch_size: 16
seed: 42
distributed_type: multi-GPU
gradient_accumulation_steps: 2
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1
training_steps: 13
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
No log
3.0
3
0.3357
0.0
No log
6.0
6
0.3242
0.0
No log
9.0
9
0.3003
0.0
No log
12.0
12
0.2649
0.5208
Framework versions
Transformers 4.41.2
Pytorch 2.2.0
Datasets 2.20.0
Tokenizers 0.19.1
