whisper-small-FIFA-best – AI Model by jmcastelo17 | AlphaNeural AI

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jmcastelo17/
whisper-small-FIFA-best

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automatic-speech-recognition

generated_from_trainer

jmcastelo17/FIFA_commentary

openai/whisper-small

endpoints_compatible

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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: 1.3021
Wer: 23.0032

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-06
train_batch_size: 32
eval_batch_size: 8
seed: 42
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: 500
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
No log	1.0	3	1.3065	23.6422
No log	2.0	6	1.3063	23.6422
No log	3.0	9	1.3060	23.6422
No log	4.0	12	1.3054	23.6422
No log	5.0	15	1.3047	23.6422
No log	6.0	18	1.3041	23.6422
No log	7.0	21	1.3038	23.3227
No log	8.0	24	1.3030	23.0032
No log	9.0	27	1.3025	23.0032
No log	10.0	30	1.3021	23.0032

Framework versions

Transformers 4.39.3
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2