metadata

license: apache-2.0
tags:
  - generated_from_trainer
datasets:
  - bayartsogt/mongolian_speech_commands
model-index:
  - name: wav2vec2-base-mn-pretrain-42h-mn-silence-speech-commands
    results: []

wav2vec2-base-mn-pretrain-42h-mn-silence-speech-commands

This model is a fine-tuned version of bayartsogt/wav2vec2-base-mn-pretrain-42h on the Mongolian Speech Commands dataset. It achieves the following results on the evaluation set:

Loss: 0.0562
Mn Acc: 0.9830
Mn F1: 0.9832
Silence Acc: 1.0
Silence F1: 1.0

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: 5e-05
train_batch_size: 128
eval_batch_size: 128
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 8

Training results

Training Loss	Epoch	Step	Validation Loss	Mn Acc	Mn F1	Silence Acc	Silence F1
No log	0.4	8	2.0276	0.0455	0.0239	1.0	1.0
2.3615	0.8	16	1.1112	0.0057	0.0108	1.0	1.0
2.0154	1.2	24	0.6836	0.6307	0.5627	0.9975	0.9988
1.5733	1.6	32	0.4493	0.7898	0.7652	0.9975	0.9988
1.1148	2.0	40	0.3264	0.8409	0.8202	1.0	1.0
1.1148	2.4	48	0.2490	0.8864	0.8768	1.0	1.0
0.7937	2.8	56	0.1739	0.9545	0.9540	1.0	1.0
0.586	3.2	64	0.1425	0.9659	0.9664	1.0	1.0
0.4445	3.6	72	0.1137	0.9659	0.9659	1.0	1.0
0.3892	4.0	80	0.0942	0.9773	0.9772	1.0	1.0
0.3892	4.4	88	0.0914	0.9716	0.9717	1.0	1.0
0.3341	4.8	96	0.0748	0.9773	0.9775	1.0	1.0
0.2863	5.2	104	0.0670	0.9886	0.9886	1.0	1.0
0.2622	5.6	112	0.0697	0.9830	0.9832	1.0	1.0
0.2222	6.0	120	0.0638	0.9830	0.9832	1.0	1.0
0.2222	6.4	128	0.0580	0.9886	0.9886	1.0	1.0
0.213	6.8	136	0.0575	0.9830	0.9832	1.0	1.0
0.2082	7.2	144	0.0587	0.9830	0.9832	1.0	1.0
0.202	7.6	152	0.0582	0.9830	0.9832	1.0	1.0
0.1936	8.0	160	0.0562	0.9830	0.9832	1.0	1.0

Framework versions

Transformers 4.30.2
Pytorch 2.0.0
Datasets 2.14.4
Tokenizers 0.13.3