Wav2Vec2_xls_r_lm_300m_hi – AI Model by LegolasTheElf | AlphaNeural AI

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LegolasTheElf/
Wav2Vec2_xls_r_lm_300m_hi

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automatic-speech-recognition

Openslr Multilingual

generated_from_trainer

hf-asr-leaderboard

mozilla-foundation/common_voice_7_0

robust-speech-event

mozilla-foundation/common_voice_7_0

endpoints_compatible

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Wav2Vec2_xls_r_300m_hi_final

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the 'Openslr Multilingual and code-switching ASR challenge' dataset and 'mozilla-foundation/common_voice_7_0' dataset. It achieves the following results on the evaluation set:

Loss: 0.3035
Wer: 0.3137
Cer: 0.0972

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: 0.0001
train_batch_size: 16
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 8
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
0.9821	0.64	400	0.5059	0.4783	0.1573
0.6861	1.28	800	0.4201	0.4247	0.1356
0.585	1.92	1200	0.3797	0.3811	0.1210
0.5193	2.56	1600	0.3577	0.3652	0.1152
0.4583	3.21	2000	0.3422	0.3519	0.1111
0.4282	3.85	2400	0.3261	0.3450	0.1071
0.3951	4.49	2800	0.3201	0.3325	0.1048
0.3619	5.13	3200	0.3167	0.3296	0.1030
0.345	5.77	3600	0.3157	0.3210	0.1013
0.338	6.41	4000	0.3051	0.3143	0.0982
0.3155	7.05	4400	0.3059	0.3154	0.0986
0.3057	7.69	4800	0.3035	0.3137	0.0972

Framework versions

Transformers 4.17.0.dev0
Pytorch 1.10.2+cu102
Datasets 1.18.3
Tokenizers 0.11.0