End of training

.gitignore

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+checkpoint-*/

README.md

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+---
+license: mit
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+model-index:
+- name: donut-base-my_model_1_new_1
+  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-my_model_1_new_1
+
+This model is a fine-tuned version of [Manab/donut-base-my_model_1_new](https://huggingface.co/Manab/donut-base-my_model_1_new) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- eval_loss: 1.9096
+- eval_runtime: 42.027
+- eval_samples_per_second: 0.69
+- eval_steps_per_second: 0.095
+- epoch: 0.96
+- step: 250
+
+## 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: 0.0001
+- train_batch_size: 1
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Framework versions
+
+- Transformers 4.31.0.dev0
+- Pytorch 2.0.1+cu118
+- Datasets 2.13.1
+- Tokenizers 0.13.3

added_tokens.json

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+{
+  "</s_Buyer Address>": 57554,
+  "</s_Buyer Name>": 57548,
+  "</s_Company Address>": 57546,
+  "</s_Company Name>": 57544,
+  "</s_Description_1>": 57542,
+  "</s_Description_1_price>": 57540,
+  "</s_Description_2>": 57538,
+  "</s_Description_2_price>": 57536,
+  "</s_Description_other>": 57552,
+  "</s_Description_other_price>": 57550,
+  "</s_Invoice Date>": 57534,
+  "</s_Invoice Number>": 57532,
+  "</s_Payment_details>": 57530,
+  "</s_Time of Buying>": 57528,
+  "</s_Total_price>": 57526,
+  "<s_Buyer Address>": 57553,
+  "<s_Buyer Name>": 57547,
+  "<s_Company Address>": 57545,
+  "<s_Company Name>": 57543,
+  "<s_Description_1>": 57541,
+  "<s_Description_1_price>": 57539,
+  "<s_Description_2>": 57537,
+  "<s_Description_2_price>": 57535,
+  "<s_Description_other>": 57551,
+  "<s_Description_other_price>": 57549,
+  "<s_Invoice Date>": 57533,
+  "<s_Invoice Number>": 57531,
+  "<s_Payment_details>": 57529,
+  "<s_Time of Buying>": 57527,
+  "<s_Total_price>": 57525,
+  "<s_iitcdip>": 57523,
+  "<s_synthdog>": 57524,
+  "<sep/>": 57522
+}

config.json

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+{
+  "_commit_hash": "75a300575e5476d47ea635c1200befe982daa372",
+  "_name_or_path": "Manab/donut-base-my_model_1_new",
+  "architectures": [
+    "VisionEncoderDecoderModel"
+  ],
+  "decoder": {
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+    "activation_function": "gelu",
+    "add_cross_attention": true,
+    "add_final_layer_norm": true,
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+    "d_model": 1024,
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+    "decoder_ffn_dim": 4096,
+    "decoder_layerdrop": 0.0,
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+    "diversity_penalty": 0.0,
+    "do_sample": false,
+    "dropout": 0.1,
+    "early_stopping": false,
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+    "encoder_ffn_dim": 4096,
+    "encoder_layerdrop": 0.0,
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+    "id2label": {
+      "0": "LABEL_0",
+      "1": "LABEL_1"
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+    "is_decoder": true,
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+      "LABEL_1": 1
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+    "max_position_embeddings": 1536,
+    "min_length": 0,
+    "model_type": "mbart",
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+    "do_sample": false,
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+    "early_stopping": false,
+    "embed_dim": 128,
+    "encoder_no_repeat_ngram_size": 0,
+    "eos_token_id": null,
+    "exponential_decay_length_penalty": null,
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+    "hidden_act": "gelu",
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+    "hidden_size": 1024,
+    "id2label": {
+      "0": "LABEL_0",
+      "1": "LABEL_1"
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+    "is_decoder": false,
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+    "mlp_ratio": 4.0,
+    "model_type": "donut-swin",
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+    "num_channels": 3,
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+  "model_type": "vision-encoder-decoder",
+  "pad_token_id": 1,
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+  "torch_dtype": "float32",
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+}

generation_config.json

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+{
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+  "decoder_start_token_id": 0,
+  "eos_token_id": 2,
+  "forced_eos_token_id": 2,
+  "max_length": 512,
+  "pad_token_id": 1,
+  "transformers_version": "4.31.0.dev0"
+}

preprocessor_config.json

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+  "do_normalize": true,
+  "do_pad": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "do_thumbnail": true,
+  "image_mean": [
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+  ],
+  "image_processor_type": "DonutImageProcessor",
+  "image_std": [
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+  "processor_class": "DonutProcessor",
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
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+    "width": 720
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+}

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special_tokens_map.json

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+{
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+    "<s_Total_price>",
+    "</s_Total_price>",
+    "<s_Time of Buying>",
+    "</s_Time of Buying>",
+    "<s_Payment_details>",
+    "</s_Payment_details>",
+    "<s_Invoice Number>",
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tokenizer_config.json

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+  "clean_up_tokenization_spaces": true,
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