wav2vec2-1b-Yspeed_pause – AI Model by Gummybear05 | AlphaNeural AI

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Gummybear05/
wav2vec2-1b-Yspeed_pause

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automatic-speech-recognition

generated_from_trainer

facebook/wav2vec2-xls-r-1b

endpoints_compatible

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wav2vec2-1b-Yspeed_pause

This model is a fine-tuned version of facebook/wav2vec2-xls-r-1b on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.2373
Cer: 33.3529

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: 2
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 50
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Cer
9.4479	0.2581	200	3.2207	66.0714
1.7868	0.5161	400	2.8650	64.3856
1.3863	0.7742	600	2.1014	51.3158
1.2139	1.0323	800	1.9113	48.1849
1.1064	1.2903	1000	1.8469	48.8193
0.9283	1.5484	1200	1.6672	43.8087
0.874	1.8065	1400	1.6412	44.4608
0.8219	2.0645	1600	1.7808	45.8882
0.7202	2.3226	1800	1.6440	43.6384
0.6672	2.5806	2000	1.5708	41.7411
0.6327	2.8387	2200	1.4854	42.5223
0.57	3.0968	2400	1.4387	39.2152
0.469	3.3548	2600	1.3790	38.0169
0.4253	3.6129	2800	1.4179	38.1520
0.398	3.8710	3000	1.2919	36.1020
0.3415	4.1290	3200	1.4286	37.2357
0.3044	4.3871	3400	1.4068	36.1666
0.2848	4.6452	3600	1.2308	33.3353
0.277	4.9032	3800	1.2373	33.3529

Framework versions

Transformers 4.45.2
Pytorch 2.3.1.post100
Datasets 2.19.1
Tokenizers 0.20.1