STT_Model_13 – AI Model by LowGI | AlphaNeural AI

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STT_Model_13

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STT_Model_13

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

Loss: 6.2208
Wer: 0.9857

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: 1e-06
train_batch_size: 10
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: 100

Training results

Training Loss	Epoch	Step	Validation Loss	Wer
No log	5.13	200	173.3126	1.0008
No log	10.26	400	144.4107	0.9992
34.9122	15.38	600	75.5557	0.9902
34.9122	20.51	800	23.4029	0.9857
12.437	25.64	1000	10.4605	0.9857
12.437	30.77	1200	9.0841	0.9857
12.437	35.9	1400	8.4492	0.9857
4.273	41.03	1600	7.9686	0.9857
4.273	46.15	1800	7.6086	0.9857
3.8969	51.28	2000	7.3133	0.9857
3.8969	56.41	2200	7.0270	0.9857
3.8969	61.54	2400	6.8339	0.9857
3.7169	66.67	2600	6.6504	0.9857
3.7169	71.79	2800	6.5280	0.9857
3.6442	76.92	3000	6.4103	0.9857
3.6442	82.05	3200	6.3444	0.9857
3.6442	87.18	3400	6.2852	0.9857
3.5493	92.31	3600	6.2478	0.9857
3.5493	97.44	3800	6.2208	0.9857

Framework versions

Transformers 4.27.2
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2