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output_model_shunyalabs_data_only_80000_steps – AI Model by Eimhin03 | AlphaNeural AI
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output_model_shunyalabs_data_only_80000_steps
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
Eimhin03/output_model_shunyalabs_data_only_40000_steps
finetune
apache-2.0
endpoints_compatible
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output_model_shunyalabs_data_only_80000_steps
This model is a fine-tuned version of
Eimhin03/output_model_shunyalabs_data_only_40000_steps
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.8523
Wer: 34.8988
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: 2
eval_batch_size: 4
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: 40000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0236
6.25
8000
0.9622
44.8087
0.0174
12.5
16000
0.9306
39.3147
0.0031
18.75
24000
0.9083
37.5277
0.0023
25.0
32000
0.8785
37.2471
0.0000
31.25
40000
0.8523
34.8988
Framework versions
Transformers 5.0.1.dev0
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.2
