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asr_EN_medium_v1 – AI Model by miosipof | AlphaNeural AI
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miosipof
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asr_EN_medium_v1
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peft
tensorboard
safetensors
generated_from_trainer
en
miosipof/asr_en
openai/whisper-medium
adapter
apache-2.0
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Whisper Medium
This model is a fine-tuned version of
openai/whisper-medium
on the miosipof/asr_en dataset. It achieves the following results on the evaluation set:
Loss: 0.3170
Wer: 20.5788
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: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 32
training_steps: 128
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Wer
3.8843
1.0847
32
0.8819
135.0482
0.3624
2.1695
64
0.3312
47.1061
0.1637
3.2542
96
0.3231
22.1865
0.0903
4.3390
128
0.3170
20.5788
Framework versions
PEFT 0.12.0
Transformers 4.44.2
Pytorch 2.4.1+cu121
Datasets 3.0.0
Tokenizers 0.19.1
