wav2vec2-xlsr-53-torgo-origin-parameters-checkpoint3750 – AI Model by ying-tina | AlphaNeural AI

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wav2vec2-xlsr-53-torgo-origin-parameters-checkpoint3750

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wav2vec2-xlsr-53-torgo-origin-parameters-checkpoint3750

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the Torgo dataset. It achieves the following results on the evaluation set:

Loss: 1.2104
Cer: 0.3903

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: 4
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: 1000
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Cer
No log	0.63	250	19.6794	0.9961
25.0027	1.26	500	5.6998	0.9961
25.0027	1.89	750	5.3298	0.9961
3.7083	2.53	1000	4.9012	0.9961
3.7083	3.16	1250	4.7392	0.9961
3.3223	3.79	1500	3.8672	0.9961
3.3223	4.42	1750	2.5696	0.8772
2.564	5.05	2000	2.0229	0.7136
2.564	5.68	2250	1.6933	0.5332
1.7148	6.31	2500	1.4409	0.4808
1.7148	6.94	2750	1.3612	0.4601
1.3384	7.58	3000	1.3402	0.4328
1.3384	8.21	3250	1.2438	0.4070
1.1197	8.84	3500	1.2251	0.3938
1.1197	9.47	3750	1.2104	0.3903

Framework versions

Transformers 4.18.0
Pytorch 1.12.1+cu113
Datasets 1.18.3
Tokenizers 0.12.1