End of training

.gitignore

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+checkpoint-*/

README.md

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+---
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+model-index:
+- name: item_hyperparameter
+  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. -->
+
+# item_hyperparameter
+
+This model was trained from scratch on the imagefolder dataset.
+
+## 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
+- 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 4.26.0
+- Pytorch 1.12.1+cu113
+- Datasets 2.8.0
+- Tokenizers 0.13.3

added_tokens.json

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+{
+  "</s_item>": 57531,
+  "</s_r_zipcode>": 57529,
+  "</s_s_zipcode>": 57526,
+  "<empty/>": 57527,
+  "<s_iitcdip>": 57523,
+  "<s_item>": 57530,
+  "<s_r_zipcode>": 57528,
+  "<s_s_zipcode>": 57525,
+  "<s_synthdog>": 57524,
+  "<sep/>": 57522
+}

config.json

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+{
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+  "_name_or_path": "ocr_item",
+  "architectures": [
+    "VisionEncoderDecoderModel"
+  ],
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+    "d_model": 1024,
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+    "decoder_ffn_dim": 4096,
+    "decoder_layerdrop": 0.0,
+    "decoder_layers": 12,
+    "decoder_start_token_id": 2,
+    "diversity_penalty": 0.0,
+    "do_sample": false,
+    "dropout": 0.1,
+    "early_stopping": false,
+    "encoder_attention_heads": 16,
+    "encoder_ffn_dim": 4096,
+    "encoder_layerdrop": 0.0,
+    "encoder_layers": 12,
+    "encoder_no_repeat_ngram_size": 0,
+    "eos_token_id": 2,
+    "exponential_decay_length_penalty": null,
+    "finetuning_task": null,
+    "forced_bos_token_id": null,
+    "forced_eos_token_id": 2,
+    "id2label": {
+      "0": "LABEL_0",
+      "1": "LABEL_1",
+      "2": "LABEL_2"
+    },
+    "init_std": 0.02,
+    "is_decoder": true,
+    "is_encoder_decoder": true,
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+      "LABEL_1": 1,
+      "LABEL_2": 2
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+    "length_penalty": 1.0,
+    "max_length": 512,
+    "max_position_embeddings": 1024,
+    "min_length": 0,
+    "model_type": "bart",
+    "no_repeat_ngram_size": 0,
+    "num_beam_groups": 1,
+    "num_beams": 1,
+    "num_hidden_layers": 12,
+    "num_return_sequences": 1,
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+    "top_k": 50,
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+    "depths": [
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+    "diversity_penalty": 0.0,
+    "do_sample": false,
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+    "early_stopping": false,
+    "embed_dim": 96,
+    "encoder_no_repeat_ngram_size": 0,
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+    "forced_eos_token_id": null,
+    "hidden_act": "gelu",
+    "hidden_dropout_prob": 0.0,
+    "hidden_size": 768,
+    "id2label": {
+      "0": "LABEL_0",
+      "1": "LABEL_1"
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+    "image_size": [
+      300,
+      720
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+    "is_decoder": false,
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+    "model_type": "swin",
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+    "num_channels": 3,
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+    "stage_names": [
+      "stem",
+      "stage1",
+      "stage2",
+      "stage3",
+      "stage4"
+    ],
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+    "typical_p": 1.0,
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+  "is_encoder_decoder": true,
+  "model_type": "vision-encoder-decoder",
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+  "torch_dtype": "float32",
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+}

generation_config.json

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+{
+  "_from_model_config": true,
+  "bos_token_id": 0,
+  "decoder_start_token_id": 2,
+  "eos_token_id": 2,
+  "forced_eos_token_id": 2,
+  "pad_token_id": 1,
+  "transformers_version": "4.26.0"
+}

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,
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+  "processor_class": "DonutProcessor",
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": [
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+    300
+  ]
+}

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special_tokens_map.json

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tokenizer_config.json

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