whisper-large-ORD_0.9_peft_0.3 – AI Model by mizoru | AlphaNeural AI

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whisper-large-ORD_0.9_peft_0.3

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openai/whisper-large-v2

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Whisper Large Ru ORD 0.9 Peft PEFT 4-bit Q DoRA - Mizoru

This model is a fine-tuned version of openai/whisper-large-v2 on the ORD_0.9 dataset. It achieves the following results on the evaluation set:

Loss: 0.9677
Wer: 40.6304
Cer: 24.2408
Clean Wer: 31.0879
Clean Cer: 18.5515

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
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
num_epochs: 4
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Cer	Clean Cer	Clean Wer	Validation Loss	Wer
1.2054	1.0	550	26.2113	20.2832	33.6306	1.0018	43.5617
1.1705	2.0	1100	24.8572	19.2069	31.8977	0.9782	41.6030
1.0492	3.0	1650	24.3564	18.5862	31.1843	0.9598	40.9753
0.9011	4.0	2200	0.9677	40.6304	24.2408	31.0879	18.5515

Framework versions

PEFT 0.12.0
Transformers 4.41.0.dev0
Pytorch 2.3.1
Datasets 3.2.0
Tokenizers 0.19.1