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whisper-small-malayalam-v1 – AI Model by arjunshajitech | AlphaNeural AI
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whisper-small-malayalam-v1
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
ml
mozilla-foundation/common_voice_11_0
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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Whisper Small Malayalam - Arjun Shaji
This model is a fine-tuned version of
openai/whisper-small
on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:
Loss: 0.5649
Wer: 83.9080
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: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
training_steps: 500
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.8113
3.7037
100
0.5609
100.6897
0.1123
7.4074
200
0.4366
88.0460
0.0184
11.1111
300
0.4850
87.1264
0.0056
14.8148
400
0.5643
87.8161
0.001
18.5185
500
0.5649
83.9080
Framework versions
Transformers 4.41.0
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1
