libri-alpha-0.75-Temp-1-attention-3-layers-distil-with-6-layers-take-3 – AI Model by rohitp1 | AlphaNeural AI

You can deploy this model and start earning money today!

rohitp1/
libri-alpha-0.75-Temp-1-attention-3-layers-distil-with-6-layers-take-3

like

0

automatic-speech-recognition

generated_from_trainer

endpoints_compatible

Views

No views yet

libri-alpha-0.75-Temp-1-attention-3-layers-distil-with-6-layers-take-3

This model is a fine-tuned version of rohitp1/libri-alpha-0.75-Temp-1-attention-3-layers-distil-with-6-layers-take-2 on the None dataset. It achieves the following results on the evaluation set:

Loss: 236.1198
Wer: 0.2607

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: 0.0002
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.3
num_epochs: 30
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
388.1305	0.45	200	228.0258	0.2599
376.7096	0.9	400	226.8922	0.2566
384.1615	1.35	600	228.5904	0.2571
373.8909	1.79	800	229.0286	0.2563
385.2149	2.24	1000	230.8802	0.2575
384.5473	2.69	1200	230.1264	0.2563
383.9426	3.14	1400	232.5964	0.2569
385.9253	3.59	1600	237.4036	0.2599
396.9868	4.04	1800	236.1198	0.2607

Framework versions

Transformers 4.23.1
Pytorch 1.12.1
Datasets 2.6.1
Tokenizers 0.13.1