wav2vec2-base-intent-classification-ori

MuhammadIqbalBazmi/wav2vec2-base-intent-classification-ori

wav2vec2-base-intent-classification-ori is a audio classification model from MuhammadIqbalBazmi. Use it for the audio classification task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.

should probably proofread and complete it, then remove this comment. --

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At a glance

Task: Audio Classification
Library: transformers
License: apache-2.0
Model type: wav2vec2
Access: Public
Created: Oct 11, 2022
Updated: Oct 13, 2022
SHA: a07f4a3f

Model card

From the Hugging Face model README

wav2vec2-base-intent-classification-ori

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

Loss: 0.4928
Accuracy: 0.9167

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: 3e-05
train_batch_size: 1
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 45

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.1867	1.0	28	2.1745	0.2708
2.1177	2.0	56	2.1165	0.2708
2.1012	3.0	84	2.0553	0.2708
1.9851	4.0	112	1.9551	0.375
1.9092	5.0	140	1.9765	0.2917
1.6848	6.0	168	1.8461	0.2917
1.6576	7.0	196	1.5223	0.5
1.4492	8.0	224	1.4500	0.4792
1.2193	9.0	252	1.5349	0.4792
1.1149	10.0	280	1.2159	0.5833
1.0615	11.0	308	1.1469	0.6875
1.0584	12.0	336	1.2778	0.6042
0.8237	13.0	364	1.1774	0.5625
0.6699	14.0	392	0.9661	0.6875
0.7414	15.0	420	1.2787	0.5208
0.5324	16.0	448	0.8592	0.7292
0.3753	17.0	476	0.6860	0.7917
0.3274	18.0	504	0.6210	0.8333
0.3667	19.0	532	0.7310	0.75
0.2347	20.0	560	0.6801	0.7292
0.2036	21.0	588	0.9876	0.6875
0.1711	22.0	616	0.6323	0.7917
0.205	23.0	644	0.4414	0.8958
0.0892	24.0	672	0.4253	0.8958
0.0777	25.0	700	0.4703	0.8958
0.0717	26.0	728	0.4883	0.8958
0.041	27.0	756	0.6224	0.8542
0.0493	28.0	784	0.5839	0.875
0.0405	29.0	812	0.6454	0.8542
0.04	30.0	840	0.6102	0.875
0.0333	31.0	868	0.6080	0.875
0.0303	32.0	896	0.5539	0.875
0.025	33.0	924	0.5799	0.8958
0.0246	34.0	952	0.5766	0.8958
0.0209	35.0	980	0.5700	0.8958
0.0225	36.0	1008	0.5709	0.8958
0.0225	37.0	1036	0.5582	0.8958
0.0217	38.0	1064	0.5258	0.875
0.0207	39.0	1092	0.5058	0.8958
0.0234	40.0	1120	0.4981	0.8958
0.021	41.0	1148	0.4928	0.9167
0.0224	42.0	1176	0.4962	0.9167
0.0212	43.0	1204	0.5329	0.8958
0.0208	44.0	1232	0.5727	0.8958
0.0206	45.0	1260	0.5733	0.8958

Framework versions

Transformers 4.20.1
Pytorch 1.11.0
Datasets 2.1.0
Tokenizers 0.12.1

Task: Audio Classification
Library: transformers
Type: wav2vec2
License: apache-2.0
Created: Oct 11, 2022
Updated: Oct 13, 2022