my_awesome_asr_mind_model6e-5 – AI Model by jadorantes2 | AlphaNeural AI

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jadorantes2/
my_awesome_asr_mind_model6e-5

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automatic-speech-recognition

generated_from_trainer

facebook/wav2vec2-base-960h

endpoints_compatible

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my_awesome_asr_mind_model6e-5

This model is a fine-tuned version of facebook/wav2vec2-base-960h on the ami dataset. It achieves the following results on the evaluation set:

Loss: 0.9652
Wer: 0.2625

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: 6e-05
train_batch_size: 32
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
training_steps: 3000
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
3.1601	15.1515	500	3.1815	1.0
3.0665	30.3030	1000	3.5100	1.0
2.1863	45.4545	1500	1.2838	0.3812
0.9609	60.6061	2000	0.9112	0.2863
0.6826	75.7576	2500	0.9450	0.2667
0.5687	90.9091	3000	0.9652	0.2625

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1