wav2vec2-large-mms-1b-twi-colab2 – AI Model by huygdng | AlphaNeural AI

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huygdng/
wav2vec2-large-mms-1b-twi-colab2

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automatic-speech-recognition

generated_from_trainer

facebook/mms-1b-all

endpoints_compatible

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wav2vec2-large-mms-1b-twi-colab2

This model is a fine-tuned version of facebook/mms-1b-all on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.4517
Wer: 0.4211

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: 0.0003
train_batch_size: 8
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: 200
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
5.9769	0.37	200	0.7091	0.6498
0.8277	0.73	400	0.4803	0.4690
0.7056	1.1	600	0.4752	0.4439
0.6693	1.46	800	0.4622	0.4311
0.6416	1.83	1000	0.4563	0.4324
0.6242	2.19	1200	0.4573	0.4268
0.6226	2.56	1400	0.4520	0.4250
0.5858	2.93	1600	0.4537	0.4222
0.5751	3.29	1800	0.4540	0.4227
0.5912	3.66	2000	0.4517	0.4211

Framework versions

Transformers 4.34.0.dev0
Pytorch 2.0.1+cu118
Datasets 2.14.4
Tokenizers 0.13.3