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temp – AI Model by EYEDOL | AlphaNeural AI
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peft
tensorboard
safetensors
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mozilla-foundation/common_voice_11_0
openai/whisper-large-v2
adapter
apache-2.0
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LSP_ASR
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: 0.1913
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: 0.001
train_batch_size: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
num_epochs: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.2329
1.0
491
0.2707
0.1468
2.0
982
0.2118
0.0747
3.0
1473
0.1913
Framework versions
PEFT 0.13.3.dev0
Transformers 4.47.0.dev0
Pytorch 2.4.0
Datasets 3.0.1
Tokenizers 0.20.0
