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whisper-tiny-sn – AI Model by Kittech | AlphaNeural AI | AlphaNeural AI
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whisper-tiny-sn
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peft
tensorboard
safetensors
whisper
whisper-event and peft-lora
generated_from_trainer
sn
google/fleurs
openai/whisper-tiny
adapter
apache-2.0
model-index
us
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Whisper Tiny Sn - Bright Chirindo
This model is a fine-tuned version of
openai/whisper-tiny
on the Google Fleurs dataset. It achieves the following results on the evaluation set:
Loss: 1.9909
Wer: 95.2762
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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 5000
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
2.087
3.0164
1000
2.4026
109.4095
1.8305
6.0328
2000
2.1613
101.2419
1.7145
9.0492
3000
2.0536
99.8705
1.6314
13.0044
4000
2.0050
99.0095
1.665
16.0208
5000
1.9909
95.2762
Framework versions
PEFT 0.10.1.dev0
Transformers 4.40.2
Pytorch 2.2.1+cu121
Datasets 2.19.2.dev0
Tokenizers 0.19.1
