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whisper-small-FIFA-1 – AI Model by jmcastelo17 | AlphaNeural AI
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whisper-small-FIFA-1
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
en
jmcastelo17/FIFA_commentary
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small FIFA_commentary
This model is a fine-tuned version of
openai/whisper-small
on the FIFA_commentary dataset. It achieves the following results on the evaluation set:
Loss: 1.3180
Wer: 24.6006
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: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
5.3487
1.0
12
4.7958
46.0064
4.6559
2.0
24
3.5936
38.9776
3.5187
3.0
36
2.0147
30.3514
2.2037
4.0
48
1.4929
30.0319
1.054
5.0
60
1.3180
24.6006
Framework versions
Transformers 4.39.3
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2
