torgo_xlsr_finetune_F04_old – AI Model by macarious | AlphaNeural AI

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torgo_xlsr_finetune_F04_old

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torgo_xlsr_finetune_F04

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: 1.6313
Wer: 0.3274

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
3.5075	0.95	1000	3.3352	1.0
1.8254	1.89	2000	1.7412	0.8714
0.8749	2.84	3000	1.5034	0.6508
0.6621	3.78	4000	1.8431	0.5925
0.5211	4.73	5000	1.4749	0.4916
0.4321	5.68	6000	1.4354	0.4748
0.3739	6.62	7000	1.5245	0.4580
0.3332	7.57	8000	1.5774	0.4550
0.3028	8.51	9000	1.6406	0.3887
0.2828	9.46	10000	1.4622	0.3867
0.2588	10.41	11000	1.5811	0.3689
0.2522	11.35	12000	1.6337	0.3739
0.2303	12.3	13000	1.5185	0.3531
0.2249	13.24	14000	1.4798	0.3521
0.2002	14.19	15000	1.9813	0.3818
0.1924	15.14	16000	1.8237	0.3709
0.1824	16.08	17000	1.6372	0.3373
0.1628	17.03	18000	1.8213	0.3482
0.1652	17.97	19000	1.6352	0.3403
0.1521	18.92	20000	1.6690	0.3383
0.1564	19.87	21000	1.6313	0.3274

Framework versions

Transformers 4.26.1
Pytorch 2.2.0
Datasets 2.16.1
Tokenizers 0.13.3