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nectar_aihub_model_10000steps – AI Model by lalok | AlphaNeural AI
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nectar_aihub_model_10000steps
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-medium
finetune
apache-2.0
endpoints_compatible
us
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nectar_aihub_model_10000steps
This model is a fine-tuned version of
openai/whisper-medium
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1407
Cer: 10.7869
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: 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: 500
training_steps: 10000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Cer
0.2001
0.1743
2000
0.1952
13.8677
0.1786
0.3486
4000
0.1752
11.6286
0.1438
0.5229
6000
0.1595
11.4573
0.1521
0.6972
8000
0.1470
10.8939
0.1396
0.8715
10000
0.1407
10.7869
Framework versions
Transformers 4.41.2
Pytorch 2.2.2+cu121
Datasets 2.19.2
Tokenizers 0.19.1
