End of training

README.md

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+---
+license: mit
+base_model: naver-clova-ix/donut-base
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- bleu
+model-index:
+- name: donut-base-sroie-v2
+  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-sroie-v2
+
+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: 0.1570
+- Bleu: 0.0203
+- Precisions: [0.9831401475237092, 0.9604966139954854, 0.9343863912515188, 0.9039473684210526]
+- Brevity Penalty: 0.0215
+- Length Ratio: 0.2067
+- Translation Length: 949
+- Reference Length: 4592
+
+## 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: 4
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 4
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Bleu   | Precisions                                                                       | Brevity Penalty | Length Ratio | Translation Length | Reference Length |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:--------------------------------------------------------------------------------:|:---------------:|:------------:|:------------------:|:----------------:|
+| No log        | 0.99  | 62   | 0.2030          | 0.0201 | [0.9789029535864979, 0.9559322033898305, 0.9294403892944039, 0.8985507246376812] | 0.0214          | 0.2064       | 948                | 4592             |
+| 0.0922        | 2.0   | 125  | 0.1648          | 0.0207 | [0.9831932773109243, 0.9628796400449944, 0.9382566585956417, 0.90956749672346]   | 0.0219          | 0.2073       | 952                | 4592             |
+| 0.0922        | 2.99  | 187  | 0.1572          | 0.0202 | [0.9831223628691983, 0.96045197740113, 0.9343065693430657, 0.9038208168642952]   | 0.0214          | 0.2064       | 948                | 4592             |
+| 0.1224        | 3.97  | 248  | 0.1570          | 0.0203 | [0.9831401475237092, 0.9604966139954854, 0.9343863912515188, 0.9039473684210526] | 0.0215          | 0.2067       | 949                | 4592             |
+
+
+### Framework versions
+
+- Transformers 4.39.0.dev0
+- Pytorch 2.2.1+cu121
+- Datasets 2.17.1
+- Tokenizers 0.15.2

added_tokens.json

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+{
+  "<s_iitcdip>": 57523,
+  "<s_synthdog>": 57524,
+  "<sep/>": 57522
+}

generation_config.json

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+{
+  "bos_token_id": 0,
+  "eos_token_id": 2,
+  "forced_eos_token_id": 2,
+  "pad_token_id": 1,
+  "transformers_version": "4.39.0.dev0"
+}

preprocessor_config.json

@@ -0,0 +1,44 @@
+{
+  "_valid_processor_keys": [
+    "images",
+    "do_resize",
+    "size",
+    "resample",
+    "do_thumbnail",
+    "do_align_long_axis",
+    "do_pad",
+    "random_padding",
+    "do_rescale",
+    "rescale_factor",
+    "do_normalize",
+    "image_mean",
+    "image_std",
+    "return_tensors",
+    "data_format",
+    "input_data_format"
+  ],
+  "do_align_long_axis": false,
+  "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
+  ],
+  "processor_class": "DonutProcessor",
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": [
+    720,
+    960
+  ]
+}

sentencepiece.bpe.model

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+version https://git-lfs.github.com/spec/v1
+oid sha256:cb9e3dce4c326195d08fc3dd0f7e2eee1da8595c847bf4c1a9c78b7a82d47e2d
+size 1296245

special_tokens_map.json

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+{
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+      "content": "<s>",
+      "lstrip": false,
+      "normalized": false,
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+      "content": "</s>",
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+      "single_word": false
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+  ],
+  "bos_token": {
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+    "lstrip": false,
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+    "single_word": false
+  },
+  "cls_token": {
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+    "rstrip": false,
+    "single_word": false
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+    "single_word": false
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+    "rstrip": false,
+    "single_word": false
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+  "sep_token": {
+    "content": "</s>",
+    "lstrip": false,
+    "normalized": false,
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+    "single_word": false
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+    "content": "<unk>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer_config.json

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+{
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+      "normalized": false,
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+      "single_word": false,
+      "special": true
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+    "57523": {
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+    "57524": {
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "additional_special_tokens": [
+    "<s>",
+    "</s>"
+  ],
+  "bos_token": "<s>",
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "<s>",
+  "eos_token": "</s>",
+  "mask_token": "<mask>",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "<pad>",
+  "processor_class": "DonutProcessor",
+  "sep_token": "</s>",
+  "sp_model_kwargs": {},
+  "tokenizer_class": "XLMRobertaTokenizer",
+  "unk_token": "<unk>"
+}