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whisper-medium-malayalam – AI Model by sujith013 | AlphaNeural AI
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sujith013
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whisper-medium-malayalam
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
ml
openai/whisper-medium
finetune
apache-2.0
endpoints_compatible
us
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Model card
Files and Versions
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./whisper-medium-malayalam-openslr
This model is a fine-tuned version of
openai/whisper-medium
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.1544
Wer: 64.3266
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: 1
seed: 42
gradient_accumulation_steps: 16
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: 10
training_steps: 100
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
1.2219
0.17
25
0.5476
95.6957
0.4421
0.33
50
0.2521
82.8780
0.2295
0.5
75
0.1752
69.3297
0.198
0.67
100
0.1544
64.3266
Framework versions
Transformers 4.37.0
Pytorch 2.1.2
Datasets 2.1.0
Tokenizers 0.15.1
