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whisper-small-translate-X-gen2-examples-quality-step4-1e-6 – AI Model by nlewins | AlphaNeural AI
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whisper-small-translate-X-gen2-examples-quality-step4-1e-6
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
ceb
nlewins/ceb-sentences-with-audio
nlewins/standard_dataset_nonsynthetic
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
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Whisper finetuned for ceb
This model is a fine-tuned version of
openai/whisper-small
on the Fleurs Ceb subset, LSK nonsynthetic, Onetalk Q&A, and Ceb sentences dataset dataset.
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-06
train_batch_size: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
training_steps: 20000
Framework versions
Transformers 4.35.0
Pytorch 2.1.0+cu121
Datasets 2.14.6
Tokenizers 0.14.1
