wav2vec2-large-xlsr-53_toy_train_data_fast_10pct – AI Model by scasutt | AlphaNeural AI

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wav2vec2-large-xlsr-53_toy_train_data_fast_10pct

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wav2vec2-large-xlsr-53_toy_train_data_fast_10pct

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: 0.6983
Wer: 0.5026

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: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
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
3.3619	1.05	250	3.4334	1.0
3.0818	2.1	500	3.4914	1.0
2.3245	3.15	750	1.6483	0.9486
1.0233	4.2	1000	0.8817	0.7400
0.7522	5.25	1250	0.7374	0.6529
0.5343	6.3	1500	0.6972	0.6068
0.4452	7.35	1750	0.6757	0.5740
0.4275	8.4	2000	0.6789	0.5551
0.3688	9.45	2250	0.6468	0.5394
0.3363	10.5	2500	0.6798	0.5358
0.3036	11.55	2750	0.6439	0.5265
0.3173	12.6	3000	0.6898	0.5196
0.2985	13.65	3250	0.6791	0.5169
0.288	14.7	3500	0.6442	0.5090
0.2673	15.75	3750	0.6984	0.5119
0.2575	16.81	4000	0.7146	0.5084
0.239	17.86	4250	0.6847	0.5040
0.2266	18.91	4500	0.6900	0.5028
0.22	19.96	4750	0.6983	0.5026

Framework versions

Transformers 4.17.0
Pytorch 1.11.0+cu102
Datasets 2.0.0
Tokenizers 0.11.6