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outout_model_29Jan26_FinetuneRealData_time_11_10 – AI Model by Eimhin03 | AlphaNeural AI
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Eimhin03
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outout_model_29Jan26_FinetuneRealData_time_11_10
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
Eimhin03/outout_model_29Jan26_FinetuneRealData
finetune
apache-2.0
endpoints_compatible
us
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outout_model_29Jan26_FinetuneRealData_time_11_10
This model is a fine-tuned version of
Eimhin03/outout_model_29Jan26_FinetuneRealData
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.8577
Wer: 44.0703
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: 0.0001
train_batch_size: 1
eval_batch_size: 1
seed: 42
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: 200
training_steps: 5000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
1.5827
0.4883
1250
1.5260
65.6328
1.1912
0.9766
2500
1.1241
52.1636
0.3742
1.4648
3750
0.9686
47.4376
0.5058
1.9531
5000
0.8577
44.0703
Framework versions
Transformers 5.0.1.dev0
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.2
