whisper-tiny-tedlium – AI Model by DS-PM4-FS24 | AlphaNeural AI

You can deploy this model and start earning money today!

DS-PM4-FS24/
whisper-tiny-tedlium

like

0

automatic-speech-recognition

generated_from_trainer

openai/whisper-tiny.en

endpoints_compatible

Views

No views yet

whisper-tiny-tedlium

This model is a fine-tuned version of openai/whisper-tiny.en on the tedlium dataset. It achieves the following results on the evaluation set:

Loss: 2.2271
Wer: 24.2451

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: 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: 100
training_steps: 200
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
No log	0.06	20	3.5590	35.2108
3.8059	0.13	40	3.0962	34.2645
2.6288	0.19	60	2.7592	31.2517
1.688	0.26	80	2.4428	24.8330
1.2352	0.32	100	2.3773	22.4951
1.2352	0.38	120	2.4088	21.6219
0.9947	0.45	140	2.3161	19.5345
0.9169	0.51	160	2.2712	23.5736
0.8418	0.58	180	2.1986	23.2918
0.8253	0.64	200	2.2271	24.2451

Framework versions

Transformers 4.39.2
Pytorch 2.2.2+cu121
Datasets 2.18.0
Tokenizers 0.15.2