torgo_xlsr_finetune_M03_old – AI Model by macarious | AlphaNeural AI

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torgo_xlsr_finetune_M03_old

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torgo_xlsr_finetune_M03

This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.6993
Wer: 0.3247

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: 4
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 1000
num_epochs: 20

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
3.5549	0.94	1000	3.3500	1.0
1.6884	1.89	2000	1.7291	0.8173
0.8237	2.83	3000	1.4608	0.6568
0.6483	3.77	4000	1.1613	0.4954
0.5299	4.72	5000	1.5725	0.4824
0.4091	5.66	6000	1.4437	0.4685
0.3694	6.6	7000	1.4507	0.4397
0.3515	7.55	8000	1.4397	0.4230
0.2878	8.49	9000	1.4089	0.3980
0.2698	9.43	10000	1.4696	0.3776
0.2621	10.38	11000	1.6717	0.3905
0.2465	11.32	12000	1.6235	0.3544
0.221	12.26	13000	1.4009	0.3479
0.2169	13.21	14000	1.6981	0.3636
0.187	14.15	15000	1.4411	0.3302
0.1918	15.09	16000	1.6418	0.3377
0.1876	16.04	17000	1.4613	0.3340
0.1641	16.98	18000	1.6040	0.3312
0.1546	17.92	19000	1.6096	0.3293
0.1522	18.87	20000	1.7270	0.3265
0.1332	19.81	21000	1.6993	0.3247

Framework versions

Transformers 4.26.1
Pytorch 2.1.2
Datasets 2.16.1
Tokenizers 0.13.3