End of training

README.md

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+---
+license: mit
+base_model: naver-clova-ix/donut-base
+tags:
+- generated_from_trainer
+datasets:
+- image_folder
+model-index:
+- name: donut-base-handwriting_recognition
+  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-handwriting_recognition
+
+This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver-clova-ix/donut-base) on the image_folder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2276
+
+## 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: 4
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+- mixed_precision_training: Native AMP
+
+### Training results
+
+
+
+### Framework versions
+
+- Transformers 4.38.1
+- Pytorch 2.1.2
+- Datasets 2.1.0
+- Tokenizers 0.15.2

added_tokens.json

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+  "<s_synthdog>": 57524,
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+}

config.json

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+{
+  "_name_or_path": "naver-clova-ix/donut-base",
+  "architectures": [
+    "VisionEncoderDecoderModel"
+  ],
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+    "decoder_layerdrop": 0.0,
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+    "diversity_penalty": 0.0,
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+    "dropout": 0.1,
+    "early_stopping": false,
+    "encoder_attention_heads": 16,
+    "encoder_ffn_dim": 4096,
+    "encoder_layerdrop": 0.0,
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+    "id2label": {
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+      "1": "LABEL_1"
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+    "is_decoder": true,
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+    "label2id": {
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+      "LABEL_1": 1
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+    "length_penalty": 1.0,
+    "max_length": 512,
+    "max_position_embeddings": 1536,
+    "min_length": 0,
+    "model_type": "mbart",
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+    "typical_p": 1.0,
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+    "vocab_size": 57527
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+    "early_stopping": false,
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+    "id2label": {
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+    "problem_type": null,
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+    "temperature": 1.0,
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+    "tie_word_embeddings": true,
+    "tokenizer_class": null,
+    "top_k": 50,
+    "top_p": 1.0,
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+    "typical_p": 1.0,
+    "use_absolute_embeddings": false,
+    "use_bfloat16": false,
+    "window_size": 10
+  },
+  "is_encoder_decoder": true,
+  "model_type": "vision-encoder-decoder",
+  "pad_token_id": 1,
+  "tie_word_embeddings": false,
+  "torch_dtype": "float32",
+  "transformers_version": "4.38.1"
+}

generation_config.json

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