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cyttic/
trocr-freefonts-s42

Name: trocr-freefonts-s42
Availability: InStock

transformers

safetensors

vision-encoder-decoder

image-text-to-text

generated_from_trainer

cyttic/exp2-frozen-benyehuda-cont

finetune

endpoints_compatible

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trocr-freefonts-s42

This model is a fine-tuned version of cyttic/exp2-frozen-benyehuda-cont on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.4985
Cer: 0.0265
Wer: 0.0737

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: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 16
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 3712
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Cer	Wer
4.7562	0.1617	2000	2.1726	0.2026	0.4062
3.6432	0.3233	4000	1.6432	0.1259	0.2877
2.7686	0.4850	6000	1.2582	0.0945	0.2224
2.4240	0.6466	8000	1.0569	0.0731	0.1818
1.9056	0.8083	10000	0.9249	0.0622	0.1577
1.7642	0.9700	12000	0.8333	0.0554	0.1418
1.2725	1.1316	14000	0.7680	0.0479	0.1269
1.3085	1.2933	16000	0.7127	0.0441	0.1166
1.1557	1.4549	18000	0.6728	0.0414	0.1093
1.1567	1.6166	20000	0.6353	0.0385	0.1012
1.1508	1.7782	22000	0.6103	0.0344	0.0927
1.1195	1.9399	24000	0.5686	0.0311	0.0872
0.7635	2.1015	26000	0.5583	0.0310	0.0854
0.8668	2.2632	28000	0.5392	0.0298	0.0826
0.7609	2.4248	30000	0.5275	0.0285	0.0796
0.8330	2.5865	32000	0.5138	0.0276	0.0759
0.7614	2.7482	34000	0.5056	0.0273	0.0756
0.8053	2.9098	36000	0.5016	0.0266	0.0740
0.7447	3.0	37116	0.4985	0.0265	0.0737

Framework versions

Transformers 5.15.0
Pytorch 2.11.0+cu128
Datasets 5.0.1
Tokenizers 0.22.2

cyttic/trocr-freefonts-s42

trocr-freefonts-s42

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

cyttic/
trocr-freefonts-s42