Model_G_P – AI Model by rossevine | AlphaNeural AI

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Model_G_P

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Model_G_P

This model was trained from scratch on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.4719
Wer: 0.5613
Cer: 0.2386

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: 0.0003
train_batch_size: 16
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 30

Training results

Training Loss	Epoch	Step	Validation Loss	Wer	Cer
0.447	4.17	400	2.1407	0.6004	0.2516
0.4338	8.33	800	2.1920	0.6033	0.2505
0.3209	12.5	1200	2.2978	0.6089	0.2601
0.2327	16.67	1600	2.3510	0.5871	0.2459
0.1735	20.83	2000	2.3828	0.5890	0.2480
0.1344	25.0	2400	2.3782	0.5647	0.2399
0.0909	29.17	2800	2.4719	0.5613	0.2386

Framework versions

Transformers 4.31.0
Pytorch 2.0.1+cu117
Datasets 1.18.3
Tokenizers 0.13.3