whisper-large-v2-ga-IE-500-32-1e-05-pretrain-cy – AI Model by kpriyanshu256 | AlphaNeural AI

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kpriyanshu256/
whisper-large-v2-ga-IE-500-32-1e-05-pretrain-cy

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automatic-speech-recognition

generated_from_trainer

mozilla-foundation/common_voice_11_0

endpoints_compatible

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whisper-large-v2-Irish

This model is a fine-tuned version of kpriyanshu256/whisper-large-v2-cy-500-32-1e-05 on the Common Voice 11.0 dataset. It achieves the following results on the evaluation set:

Loss: 1.1613
Wer: 40.8827

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: 4
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
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: 50
training_steps: 500

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.4018	3.01	100	0.9510	47.8513
0.0465	6.02	200	0.9984	42.4797
0.0127	9.02	300	1.0906	42.9152
0.0024	12.03	400	1.1443	40.8246
0.0017	15.04	500	1.1613	40.8827

Framework versions

Transformers 4.26.0.dev0
Pytorch 1.13.0+cu117
Datasets 2.7.1.dev0
Tokenizers 0.13.2