wav2vec2-large-mms-1b-odia – AI Model by sam2ai | AlphaNeural AI

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sam2ai/
wav2vec2-large-mms-1b-odia

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automatic-speech-recognition

generated_from_trainer

common_voice_6_1

endpoints_compatible

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wav2vec2-large-mms-1b-odia

This model is a fine-tuned version of facebook/mms-1b-all on the common_voice_6_1 dataset. It achieves the following results on the evaluation set:

Loss: 0.2591
Wer: 1.0526

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: 0.001
train_batch_size: 12
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: 100
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
20.1037	0.23	10	20.9125	1.0
17.8006	0.45	20	15.9823	1.0
12.0829	0.68	30	9.3068	1.0
5.2122	0.91	40	3.6577	1.0012
2.8945	1.14	50	1.9252	1.2448
1.2442	1.36	60	0.7219	1.0220
0.5149	1.59	70	0.3858	1.0122
0.3685	1.82	80	0.3202	1.0147
0.3529	2.05	90	0.3093	1.0147
0.2863	2.27	100	0.3130	1.0135
0.2643	2.5	110	0.3145	1.0098
0.2518	2.73	120	0.2861	1.0588
0.2783	2.95	130	0.2668	1.0649
0.2586	3.18	140	0.2714	1.0355
0.243	3.41	150	0.2631	1.0453
0.2261	3.64	160	0.2642	1.0367
0.2365	3.86	170	0.2591	1.0526

Framework versions

Transformers 4.31.0.dev0
Pytorch 2.0.1+cu117
Datasets 2.12.0
Tokenizers 0.13.3