End of training

README.md

@@ -0,0 +1,67 @@
+---
+license: mit
+base_model: naver-clova-ix/donut-base
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+model-index:
+- name: donut-base-death
+  results: []
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# donut-base-death
+
+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.
+It achieves the following results on the evaluation set:
+- Loss: 0.3296
+
+## 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: 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: 30
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 0.8331        | 1.0   | 70   | 0.3877          |
+| 0.2835        | 2.0   | 140  | 0.2715          |
+| 0.1761        | 3.0   | 210  | 0.2680          |
+| 0.095         | 4.0   | 280  | 0.2797          |
+| 0.1615        | 5.0   | 350  | 0.3204          |
+| 0.0158        | 6.0   | 420  | 0.3483          |
+| 0.0059        | 7.0   | 490  | 0.3216          |
+| 0.04          | 8.0   | 560  | 0.3296          |
+
+
+### Framework versions
+
+- Transformers 4.35.0
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1

added_tokens.json

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+  "<sep/>": 57522
+}

generation_config.json

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+  "eos_token_id": 2,
+  "forced_eos_token_id": 2,
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+  "transformers_version": "4.35.0"
+}

model.safetensors

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preprocessor_config.json

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+{
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+  "do_normalize": true,
+  "do_pad": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "do_thumbnail": true,
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_processor_type": "DonutImageProcessor",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
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+  "processor_class": "DonutProcessor",
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": [
+    800,
+    1200
+  ]
+}

runs/Nov13_06-29-31_392921d2894d/events.out.tfevents.1699856978.392921d2894d.2234.0

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sentencepiece.bpe.model

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special_tokens_map.json

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+}

tokenizer_config.json

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+}