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whisper-medium-sein – AI Model by Cristhian2430 | AlphaNeural AI
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transformers
pytorch
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
es
openai/whisper-large
finetune
apache-2.0
endpoints_compatible
us
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Whisper Large SEIN - COES SEIN
This model is a fine-tuned version of
openai/whisper-large
on the SEIN COES dataset. It achieves the following results on the evaluation set:
Loss: 1.2948
Wer: 70.8908
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: 1
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 100
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
1.3416
5.06
100
1.2948
70.8908
Framework versions
Transformers 4.34.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.14.5
Tokenizers 0.13.3
