dgx2_whisper_small_mozilla_noisy_distil_epochs_50_batch_8 – AI Model by rohitp1 | AlphaNeural AI

You can deploy this model and start earning money today!

rohitp1/
dgx2_whisper_small_mozilla_noisy_distil_epochs_50_batch_8

like

0

automatic-speech-recognition

generated_from_trainer

endpoints_compatible

Views

No views yet

dgx2_whisper_small_mozilla_noisy_distil_epochs_50_batch_8

This model is a fine-tuned version of rohitp1/kkkh_whisper_small_distillation_att_loss_mozilla_epochs_100_batch_4_concat_dataset on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.1254
Wer: 20.5209

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: 5e-05
train_batch_size: 8
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 256
total_train_batch_size: 2048
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine_with_restarts
lr_scheduler_warmup_ratio: 0.2
num_epochs: 50
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
0.0006	4.39	150	0.5538	19.3893
0.1453	8.78	300	0.7751	20.7263
0.3233	13.17	450	0.8857	20.7994
0.486	17.55	600	1.0980	20.6462
0.6433	21.94	750	1.1264	20.5835
0.6452	26.33	900	1.1254	20.5209

Framework versions

Transformers 4.28.1
Pytorch 1.12.1
Datasets 2.8.0
Tokenizers 0.13.2