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Baseline-FT – AI Model by ThomasFG | AlphaNeural AI
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Baseline-FT
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-small.en
finetune
apache-2.0
endpoints_compatible
us
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Model card
Files and Versions
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2024-02-22_22-55-48
This model is a fine-tuned version of
openai/whisper-small.en
on 135h of the MyST dataset. It achieves the following results on the evaluation set:
Loss: 0.2345
Wer: 8.9883
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: 64
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 0
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.3157
1.0
907
0.2345
8.9883
Framework versions
Transformers 4.37.2
Pytorch 1.13.1+cu116
Datasets 2.17.0
Tokenizers 0.15.2
