wav2vec2-burak-new-300-v2-5 – AI Model by burakyldrm | AlphaNeural AI

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wav2vec2-burak-new-300-v2-5

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wav2vec2-burak-new-300-v2-5

This model is a fine-tuned version of facebook/wav2vec2-xls-r-300m on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.2833
Wer: 0.2168

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: 8
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: 500
num_epochs: 141
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
6.3785	9.8	500	3.1380	1.0
1.863	19.6	1000	0.3638	0.4659
0.524	29.41	1500	0.2742	0.3379
0.3581	39.21	2000	0.2746	0.3049
0.2783	49.02	2500	0.2559	0.2877
0.2378	58.82	3000	0.2613	0.2732
0.2062	68.62	3500	0.2499	0.2602
0.1849	78.43	4000	0.2809	0.2485
0.1663	88.23	4500	0.2768	0.2429
0.1526	98.04	5000	0.2767	0.2319
0.1434	107.84	5500	0.2886	0.2285
0.1338	117.64	6000	0.2808	0.2257
0.1313	127.45	6500	0.2835	0.2106
0.1281	137.25	7000	0.2833	0.2168

Framework versions

Transformers 4.24.0
Pytorch 1.12.1+cu113
Datasets 2.6.1
Tokenizers 0.13.2