You can deploy this model and start earning money today!

luigisaetta/
whisper-atco2-medium

Name: whisper-atco2-medium
Availability: InStock

automatic-speech-recognition

generated_from_trainer

luigisaetta/atco2_normalized_augmented

apache-2.0

model-index

endpoints_compatible

Views

No views yet

whisper-atco2-medium

This model is a fine-tuned version of openai/whisper-medium on the luigisaetta/atco2_normalized_augmented dataset. It achieves the following results on the evaluation set:

Loss: 0.6129
Wer: 17.5052

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: 2
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 16
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: 200
training_steps: 500
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
2.3939	1.06	50	1.8493	66.5618
0.5127	2.13	100	0.5119	30.6080
0.0626	3.19	150	0.5410	20.4403
0.0157	4.25	200	0.5775	19.8113
0.0107	5.32	250	0.5552	19.7065
0.0044	6.38	300	0.5723	18.1342
0.0013	7.45	350	0.5763	17.7149
0.0005	8.51	400	0.6053	17.7149
0.0004	9.57	450	0.6109	17.5052
0.0004	10.64	500	0.6129	17.5052

Framework versions

Transformers 4.26.0.dev0
Pytorch 1.13.0+cu117
Datasets 2.7.1.dev0
Tokenizers 0.11.0

luigisaetta/whisper-atco2-medium

whisper-atco2-medium

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

luigisaetta/
whisper-atco2-medium