Edcastro
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edcastr_ASR_WhisperSmall_LatinSpanishAllLocale

Automatic Speech Recognition

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edcastr_ASR_WhisperSmall_LatinSpanishAllLocale

This model is a fine-tuned version of openai/whisper-small on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.1328
Wer: 0.3765

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: 128
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 256
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 5

Training results

Framework versions

Transformers 4.57.0
Pytorch 2.4.0+cu121
Datasets 4.1.1
Tokenizers 0.22.1

Downloads last month: 4

Safetensors

Model size

0.2B params

Tensor type

BF16

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Model tree for Edcastro/edcastr_ASR_WhisperSmall_LatinSpanishAllLocale

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openai/whisper-small

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