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whisper-medium-ft-1000_2 – AI Model by adityarra07 | AlphaNeural AI
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adityarra07
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whisper-medium-ft-1000_2
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transformers
pytorch
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-medium
finetune
apache-2.0
endpoints_compatible
us
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whisper-medium-ft-1000_2
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: 0.3892
Wer: 14.2726
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: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 6
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
1.4357
1.0
63
0.4359
29.4199
0.1744
2.0
126
0.3807
16.5746
0.057
3.0
189
0.3800
15.7919
0.0187
4.0
252
0.3829
14.4107
0.0068
5.0
315
0.3823
14.6409
0.0026
6.0
378
0.3892
14.2726
Framework versions
Transformers 4.33.1
Pytorch 2.0.1+cu117
Datasets 2.14.5
Tokenizers 0.13.3
