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whisper-medium_to_cv_albanian – AI Model by rishabhjain16 | AlphaNeural AI
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whisper-medium_to_cv_albanian
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
hf-asr-leaderboard
generated_from_trainer
sq
CV_Albanian
openai/whisper-medium
finetune
apache-2.0
endpoints_compatible
us
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Whisper Medium CV Test
This model is a fine-tuned version of
openai/whisper-medium
on the CV Albanian dataset. It achieves the following results on the evaluation set:
eval_loss: 0.7844
eval_wer: 39.9593
eval_runtime: 186.4098
eval_samples_per_second: 2.06
eval_steps_per_second: 0.257
epoch: 37.04
step: 2000
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.0338
0.2
500
0.7342
45.9470
0.0026
0.4
1000
0.7724
40.4887
0.0008
0.8
1500
0.7513
39.7148
0.0001
1.0
2000
0.7844
39.9592
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: 500
training_steps: 5000
Framework versions
Transformers 4.39.0.dev0
Pytorch 2.1.0+cu121
Datasets 2.17.1
Tokenizers 0.15.2
