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fisrt_stt_based_for_pre-train – AI Model by Jaafarulloh | AlphaNeural AI
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Jaafarulloh
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fisrt_stt_based_for_pre-train
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peft
pytorch
tf
tensorboard
safetensors
whisper
generated_from_trainer
audiofolder
openai/whisper-large-v2
adapter
apache-2.0
us
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stt
This model is a fine-tuned version of
openai/whisper-large-v2
on the audiofolder dataset. It achieves the following results on the evaluation set:
Loss: 0.0204
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: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
num_epochs: 2
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
0.1154
1.0
365
0.0772
0.0486
2.0
730
0.0204
Framework versions
PEFT 0.12.1.dev0
Transformers 4.45.0.dev0
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1
