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Modelo_1_Whisper_Medium – AI Model by mfidabel | AlphaNeural AI
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Modelo_1_Whisper_Medium
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peft
safetensors
generated_from_trainer
openai/whisper-medium
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apache-2.0
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Modelo_1_Whisper_Medium
This model is a fine-tuned version of
openai/whisper-medium
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.6559
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: 0.001
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
0.9935
1.0
121
1.1678
5.5097
2.0
242
5.0746
0.6861
3.0
363
0.8024
0.4752
4.0
484
0.6916
0.2643
5.0
605
0.6559
Framework versions
PEFT 0.7.1
Transformers 4.36.2
Pytorch 2.1.0+cu118
Datasets 2.16.1
Tokenizers 0.15.2
