torgo_xlsr_finetune_F03_old – AI Model by macarious | AlphaNeural AI

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torgo_xlsr_finetune_F03_old

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torgo_xlsr_finetune_F03

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: 0.3758
Wer: 0.1234

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
3.5793	1.06	1000	3.5545	1.0
2.1557	2.11	2000	0.9675	0.7402
0.9155	3.17	3000	0.5581	0.4278
0.6488	4.23	4000	0.4753	0.2703
0.4806	5.29	5000	0.5099	0.1864
0.4012	6.34	6000	0.3734	0.1549
0.3717	7.4	7000	0.4955	0.1732
0.3247	8.46	8000	0.4187	0.1339
0.3028	9.51	9000	0.3920	0.1234
0.2716	10.57	10000	0.6216	0.1785
0.255	11.63	11000	0.3310	0.1417
0.2418	12.68	12000	0.3653	0.1339
0.2111	13.74	13000	0.3677	0.1155
0.1996	14.8	14000	0.4039	0.1286
0.1869	15.86	15000	0.3811	0.1339
0.175	16.91	16000	0.3736	0.1286
0.1651	17.97	17000	0.3848	0.1260
0.179	19.03	18000	0.3758	0.1234

Framework versions

Transformers 4.26.1
Pytorch 2.2.0
Datasets 2.16.1
Tokenizers 0.13.3