flima/openai-whisper-medium-LoRA16-es_ecu911

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Whisper openai-whisper-medium-LoRA16-es_ecu911

This model is a fine-tuned version of openai/whisper-medium on the llamadas ecu9111 segmentos dmarquez dataset. It achieves the following results on the evaluation set:

• —Loss: 1.5185

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
• —trainbatchsize: 8
• —evalbatchsize: 2
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 50
• —num_epochs: 5
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —PEFT 0.13.2
• —Transformers 4.45.2
• —Pytorch 2.4.1+cu121
• —Datasets 3.0.1
• —Tokenizers 0.20.1