wav2vec2-conformer-rel-pos-large-medical-intent-v2 – AI Model by shreyas1104 | AlphaNeural AI

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shreyas1104/
wav2vec2-conformer-rel-pos-large-medical-intent-v2

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wav2vec2-conformer

audio-classification

generated_from_trainer

facebook/wav2vec2-conformer-rel-pos-large

endpoints_compatible

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wav2vec2-conformer-rel-pos-large-medical-intent-v2

This model is a fine-tuned version of facebook/wav2vec2-conformer-rel-pos-large on the audiofolder dataset. It achieves the following results on the evaluation set:

Loss: 1.0410
Accuracy: 0.6170
Precision: 0.6351
Recall: 0.6170

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: 0.0001
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Precision	Recall
1.7714	1.0	82	1.7605	0.2339	0.3198	0.2339
1.511	2.0	164	1.5148	0.4298	0.3817	0.4298
1.1417	2.99	246	1.1530	0.5936	0.6491	0.5936
0.8747	3.99	328	1.0410	0.6170	0.6351	0.6170

Framework versions

Transformers 4.39.1
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2