whisper-tiny-v2-ta_e6_bp – AI Model by G-Rahul | AlphaNeural AI

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whisper-tiny-v2-ta_e6_bp

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whisper-tiny-v2-ta_e6_bp

This model is a fine-tuned version of openai/whisper-tiny on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.3422
Wer: 42.5666

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: 1.5e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
training_steps: 3000

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.491	0.21	300	0.4824	58.7409
0.4042	0.42	600	0.4242	56.5617
0.3571	0.63	900	0.3949	51.5254
0.3132	0.84	1200	0.3754	45.9080
0.2878	1.05	1500	0.3621	44.8910
0.2801	1.26	1800	0.3545	43.6320
0.2708	1.47	2100	0.3496	43.0508
0.2718	1.68	2400	0.3442	43.0024
0.261	1.9	2700	0.3422	42.5666

Framework versions

Transformers 4.28.0.dev0
Pytorch 1.12.1
Datasets 2.11.0
Tokenizers 0.13.3