whisper-tiny-spanish-1 – AI Model by Berly00 | AlphaNeural AI

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Berly00/
whisper-tiny-spanish-1

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automatic-speech-recognition

generated_from_trainer

openai/whisper-tiny

endpoints_compatible

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Whisper tiny es - m1

This model is a fine-tuned version of openai/whisper-tiny on the fleurs dataset. It achieves the following results on the evaluation set:

Loss: 0.4496
Wer: 18.9365

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: 250
training_steps: 1500
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
1.2138	1.4286	250	0.4507	20.0241
0.9388	2.8571	500	0.4302	18.4378
0.8286	4.2857	750	0.4378	18.7043
0.7681	5.7143	1000	0.4426	18.7645
0.6715	7.1429	1250	0.4477	18.8763
0.5874	8.5714	1500	0.4496	18.9365

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1