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whisper-small-sl – AI Model by naniboyebig | AlphaNeural AI
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whisper-small-sl
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
openai/whisper-small
finetune
apache-2.0
endpoints_compatible
us
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whisper-small-sl
This model is a fine-tuned version of
openai/whisper-small
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.3292
Wer: 29.0910
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: 10
training_steps: 100
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.4607
0.3978
1000
0.4599
49.4480
0.3716
0.7955
2000
0.3842
36.1316
0.2315
1.1933
3000
0.3542
32.5667
0.2136
1.5911
4000
0.3388
30.3473
0.2097
1.9889
5000
0.3292
29.0910
Framework versions
Transformers 4.45.2
Pytorch 2.5.1+cu124
Datasets 2.19.1
Tokenizers 0.20.1
