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whisper-small-reverse-ml-mft-1-exp – AI Model by kavyamanohar | AlphaNeural AI
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kavyamanohar
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whisper-small-reverse-ml-mft-1-exp
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
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whisper-small-reverse-ml-mft-1-exp
This model is a fine-tuned version of
openai/whisper-small
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.0788
Wer: 43.8497
Cer: 14.0938
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: 0.0002
train_batch_size: 64
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 128
optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: warmup_stable_decay
lr_scheduler_warmup_steps: 593
training_steps: 5928
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
Cer
0.0698
1.0
1482
0.0952
50.9644
17.3791
0.058
2.0
2964
0.0822
47.1310
15.6959
0.0501
3.0
4446
0.0812
45.5018
15.0481
0.0366
4.0
5928
0.0788
43.8497
14.0938
Framework versions
Transformers 4.51.1
Pytorch 2.8.0+cu128
Datasets 4.4.1
Tokenizers 0.21.4
