End of training

README.md

@@ -1,7 +1,7 @@
 ---
 library_name: transformers
 license: mit
-base_model: naver-clova-ix/donut-base
+base_model: naver-clova-ix/donut-base-finetuned-cord-v2
 tags:
 - generated_from_trainer
 datasets:
@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # donut-base-engine_logbook2
 
-This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver-clova-ix/donut-base) on the imagefolder dataset.
+This model is a fine-tuned version of [naver-clova-ix/donut-base-finetuned-cord-v2](https://huggingface.co/naver-clova-ix/donut-base-finetuned-cord-v2) on the imagefolder dataset.
 
 ## Model description
 
@@ -35,13 +35,13 @@ More information needed
 ### Training hyperparameters
 
 The following hyperparameters were used during training:
-- learning_rate: 2e-05
+- learning_rate: 1e-05
 - train_batch_size: 2
 - eval_batch_size: 8
 - seed: 42
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 6
+- num_epochs: 10
 - mixed_precision_training: Native AMP
 
 ### Training results
@@ -52,5 +52,5 @@ The following hyperparameters were used during training:
 
 - Transformers 4.45.2
 - Pytorch 2.6.0+cu124
-- Datasets 3.4.1
+- Datasets 3.5.0
 - Tokenizers 0.20.3

model.safetensors

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runs/Mar30_06-36-45_936d9622193e/events.out.tfevents.1743316605.936d9622193e.6832.0

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