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whisper-small-ablation-add-NldLlm – AI Model by octava | AlphaNeural AI
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octava
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whisper-small-ablation-add-NldLlm
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transformers
tensorboard
safetensors
whisper
automatic-speech-recognition
generated_from_trainer
fleurs
openai/whisper-small
finetune
apache-2.0
model-index
endpoints_compatible
us
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whisper-small-ablation-add-NldLlm
This model is a fine-tuned version of
openai/whisper-small
on the fleurs dataset. It achieves the following results on the evaluation set:
Loss: 0.6128
Wer: 19.4543
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: 32
eval_batch_size: 16
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: 1000
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
0.2366
2.7027
200
0.4297
19.0708
0.0432
5.4054
400
0.4903
19.3363
0.0142
8.1081
600
0.5659
19.8599
0.0026
10.8108
800
0.6312
19.3510
0.0019
13.5135
1000
0.6128
19.4543
Framework versions
Transformers 4.45.0
Pytorch 2.11.0+cu130
Datasets 3.0.1
Tokenizers 0.20.0
