Modelpublic

ml-for-speech/language-classification

sourceHugging Faceupdated 2y agoView on Hugging Face

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Model Card

Language Classification

A model trained for language classification. Thanks to @sanchit-gandhi for this code which was used to train the model.

This model was trained for 15 epochs.

Evaluation

It achieves the following results on the evaluation set:

—Loss: 1.1229
—Accuracy: 0.7401

Hyperparameters

The following hyperparameters were used during training:

—learning_rate: 1e-05
—trainbatchsize: 64
—evalbatchsize: 16
—seed: 0
—optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
—lrschedulertype: linear
—lrschedulerwarmup_ratio: 0.1
—num_epochs: 15.0
—mixedprecisiontraining: Native AMP

Training Results

Training Loss	Epoch	Step	Validation Loss	Accuracy
3.1638	1.0	347	3.0152	0.4200
2.0788	2.0	694	1.9700	0.5504
1.4236	3.0	1041	1.5048	0.6374
1.0305	4.0	1388	1.2979	0.6685
0.7651	5.0	1735	1.1692	0.7023
0.5782	6.0	2082	1.0896	0.7227
0.4483	7.0	2429	1.0605	0.7198
0.3253	8.0	2776	1.0255	0.7376
0.2589	9.0	3123	1.0478	0.7354
0.1825	10.0	3470	1.0677	0.7318
0.1489	11.0	3817	1.0946	0.7373
0.1274	12.0	4164	1.1180	0.7376
0.1074	13.0	4511	1.1229	0.7401
0.0979	14.0	4858	1.1523	0.7383
0.0914	15.0	5205	1.1498	0.7401

Disclaimer

THE MODEL IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH REGARD TO THIS MODEL INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT, INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS MODEL.