norhand-hcr-beta1 – AI Model by Sprakbanken | AlphaNeural AI

You can deploy this model and start earning money today!

Sprakbanken/
norhand-hcr-beta1

like

0

vision-encoder-decoder

generated_from_trainer

microsoft/trocr-base-stage1

endpoints_compatible

Views

No views yet

norhand-hcr-beta1

This model is a fine-tuned version of microsoft/trocr-base-stage1 on the NorHand dataset. It achieves the following results on the evaluation set:

Loss: 1.4687
Cer: 0.0439

It achieves the following results on the test set:

CER: 8.3
WER: 22.07

This is work in progress.

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: 5e-05
train_batch_size: 32
eval_batch_size: 1
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 2000
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Cer
0.7606	0.71	5000	1.0489	0.1266
0.5971	1.43	10000	1.2096	0.1028
0.4448	2.14	15000	1.3738	0.0771
0.3919	2.85	20000	1.2733	0.0670
0.2806	3.56	25000	1.3048	0.0597
0.2055	4.28	30000	1.3568	0.0557
0.2486	4.99	35000	0.9717	0.0527
0.1631	5.7	40000	1.3159	0.0506
0.1159	6.41	45000	1.3730	0.0480
0.0605	7.13	50000	1.3399	0.0469
0.0626	7.84	55000	1.3642	0.0460
0.0532	8.55	60000	1.3870	0.0450
0.0177	9.26	65000	1.4912	0.0439
0.0308	9.98	70000	1.4687	0.0439

Framework versions

Transformers 4.32.1
Pytorch 2.1.1+cu121
Datasets 2.15.0
Tokenizers 0.13.3