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whisper-tiny-epoch-1 – AI Model by Perrie | AlphaNeural AI
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whisper-tiny-epoch-1
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
zh
mozilla-foundation/common_voice_11_0
openai/whisper-tiny
finetune
apache-2.0
endpoints_compatible
us
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Whisper tiny epoch 1- Perrie
This model is a fine-tuned version of
openai/whisper-tiny
on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.4304
Cer: 60.2188
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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 70
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Cer
0.3925
1.0
705
0.4304
60.2188
Framework versions
Transformers 4.35.0.dev0
Pytorch 1.12.1
Datasets 2.14.6
Tokenizers 0.14.1
