PolizzeDonut-SoloPDF-3Epochs
Browse files- README.md +62 -0
- added_tokens.json +31 -0
- config.json +192 -0
- generation_config.json +8 -0
- model.safetensors +3 -0
- preprocessor_config.json +26 -0
- sentencepiece.bpe.model +3 -0
- special_tokens_map.json +249 -0
- tokenizer.json +0 -0
- tokenizer_config.json +318 -0
- training_args.bin +3 -0
README.md
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---
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license: mit
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base_model: naver-clova-ix/donut-base
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tags:
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- generated_from_trainer
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datasets:
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- imagefolder
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model-index:
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- name: PolizzeDonut-SoloPDF-3Epochs
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# PolizzeDonut-SoloPDF-3Epochs
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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.
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It achieves the following results on the evaluation set:
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- Loss: 1.1551
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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The following hyperparameters were used during training:
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- learning_rate: 2e-05
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- train_batch_size: 2
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- eval_batch_size: 2
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- seed: 42
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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- lr_scheduler_type: linear
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- num_epochs: 3
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| 3.2092 | 1.0 | 250 | 1.9204 |
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| 1.4048 | 2.0 | 500 | 1.2527 |
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| 1.1187 | 3.0 | 750 | 1.1551 |
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### Framework versions
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- Transformers 4.38.2
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- Pytorch 2.2.1+cu121
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- Datasets 2.18.0
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- Tokenizers 0.15.2
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added_tokens.json
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{
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"</s_Consignee>": 57528,
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"</s_Consignee_Country>": 57546,
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"</s_Consignor>": 57526,
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"</s_Consignor_Country>": 57544,
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"</s_Goods_Description>": 57534,
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"</s_Marks>": 57536,
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"</s_Notify>": 57530,
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"</s_Notify_Country>": 57548,
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"</s_Second_Notify>": 57532,
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"</s_Second_Notify_Country>": 57550,
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"</s_Total_Packages>": 57538,
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"</s_Total_Volume>": 57542,
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"</s_Total_Weight>": 57540,
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"<s_Consignee>": 57527,
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"<s_Consignee_Country>": 57545,
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"<s_Consignor>": 57525,
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"<s_Consignor_Country>": 57543,
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"<s_Goods_Description>": 57533,
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"<s_Marks>": 57535,
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"<s_Notify>": 57529,
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"<s_Notify_Country>": 57547,
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"<s_Second_Notify>": 57531,
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"<s_Second_Notify_Country>": 57549,
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"<s_Total_Packages>": 57537,
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"<s_Total_Volume>": 57541,
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"<s_Total_Weight>": 57539,
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"<s_iitcdip>": 57523,
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"<s_synthdog>": 57524,
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"<sep/>": 57522
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}
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config.json
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{
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"_name_or_path": "naver-clova-ix/donut-base",
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"architectures": [
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"VisionEncoderDecoderModel"
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],
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"decoder": {
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"_name_or_path": "",
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"activation_dropout": 0.0,
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"activation_function": "gelu",
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"add_cross_attention": true,
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"add_final_layer_norm": true,
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"architectures": null,
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"attention_dropout": 0.0,
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"bad_words_ids": null,
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"begin_suppress_tokens": null,
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"bos_token_id": 0,
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"chunk_size_feed_forward": 0,
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"classifier_dropout": 0.0,
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"cross_attention_hidden_size": null,
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"d_model": 1024,
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"decoder_attention_heads": 16,
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"decoder_ffn_dim": 4096,
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"decoder_layerdrop": 0.0,
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"decoder_layers": 4,
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"decoder_start_token_id": null,
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"diversity_penalty": 0.0,
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"do_sample": false,
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"dropout": 0.1,
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"early_stopping": false,
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"encoder_attention_heads": 16,
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"encoder_ffn_dim": 4096,
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"encoder_layerdrop": 0.0,
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"encoder_layers": 12,
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"encoder_no_repeat_ngram_size": 0,
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"eos_token_id": 2,
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"exponential_decay_length_penalty": null,
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"finetuning_task": null,
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"forced_bos_token_id": null,
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"forced_eos_token_id": 2,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1"
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},
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"init_std": 0.02,
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"is_decoder": true,
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"is_encoder_decoder": false,
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1
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},
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"length_penalty": 1.0,
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"max_length": 512,
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"max_position_embeddings": 1536,
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"min_length": 0,
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"model_type": "mbart",
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"no_repeat_ngram_size": 0,
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"num_beam_groups": 1,
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"num_beams": 1,
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"num_hidden_layers": 12,
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"num_return_sequences": 1,
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"output_hidden_states": false,
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"output_scores": false,
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"pad_token_id": 1,
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"prefix": null,
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"problem_type": null,
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"pruned_heads": {},
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"remove_invalid_values": false,
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"repetition_penalty": 1.0,
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"return_dict": true,
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"return_dict_in_generate": false,
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"scale_embedding": true,
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"sep_token_id": null,
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"suppress_tokens": null,
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"task_specific_params": null,
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"temperature": 1.0,
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"tf_legacy_loss": false,
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"tie_encoder_decoder": false,
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"tie_word_embeddings": true,
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"tokenizer_class": null,
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"top_k": 50,
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"torchscript": false,
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"typical_p": 1.0,
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"use_cache": true,
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"vocab_size": 57551
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},
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"decoder_start_token_id": 0,
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"encoder": {
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"_name_or_path": "",
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"add_cross_attention": false,
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"chunk_size_feed_forward": 0,
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"cross_attention_hidden_size": null,
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"decoder_start_token_id": null,
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"depths": [
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2,
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],
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"diversity_penalty": 0.0,
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"do_sample": false,
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"drop_path_rate": 0.1,
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"early_stopping": false,
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"embed_dim": 128,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 1024,
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"id2label": {
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"0": "LABEL_0",
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"1": "LABEL_1"
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},
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"image_size": [
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1050,
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780
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],
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"initializer_range": 0.02,
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"is_decoder": false,
|
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"is_encoder_decoder": false,
|
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"label2id": {
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"LABEL_0": 0,
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"LABEL_1": 1
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},
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"layer_norm_eps": 1e-05,
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"length_penalty": 1.0,
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"max_length": 20,
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"min_length": 0,
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"mlp_ratio": 4.0,
|
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"model_type": "donut-swin",
|
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"no_repeat_ngram_size": 0,
|
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"num_beam_groups": 1,
|
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"num_beams": 1,
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"num_channels": 3,
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"num_heads": [
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],
|
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"num_layers": 4,
|
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"num_return_sequences": 1,
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"output_attentions": false,
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"output_hidden_states": false,
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"output_scores": false,
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"patch_size": 4,
|
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"path_norm": true,
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"prefix": null,
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"problem_type": null,
|
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"pruned_heads": {},
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"qkv_bias": true,
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"remove_invalid_values": false,
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"repetition_penalty": 1.0,
|
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"return_dict": true,
|
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"return_dict_in_generate": false,
|
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"sep_token_id": null,
|
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"task_specific_params": null,
|
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"temperature": 1.0,
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"tf_legacy_loss": false,
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"tie_encoder_decoder": false,
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"tie_word_embeddings": true,
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"tokenizer_class": null,
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177 |
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"top_k": 50,
|
178 |
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"top_p": 1.0,
|
179 |
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"torch_dtype": null,
|
180 |
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"torchscript": false,
|
181 |
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"typical_p": 1.0,
|
182 |
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"use_absolute_embeddings": false,
|
183 |
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"use_bfloat16": false,
|
184 |
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"window_size": 10
|
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},
|
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"is_encoder_decoder": true,
|
187 |
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"model_type": "vision-encoder-decoder",
|
188 |
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"pad_token_id": 1,
|
189 |
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"tie_word_embeddings": false,
|
190 |
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"torch_dtype": "float32",
|
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"transformers_version": "4.38.2"
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}
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generation_config.json
ADDED
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{
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"_from_model_config": true,
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"bos_token_id": 0,
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"eos_token_id": 2,
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"forced_eos_token_id": 2,
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"pad_token_id": 1,
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"transformers_version": "4.38.2"
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}
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model.safetensors
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:2e1992b5c263fd0de1dee0dc74ddde44bd44cf619ed37639aa6891a3c1245d3c
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size 809177240
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preprocessor_config.json
ADDED
@@ -0,0 +1,26 @@
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"do_align_long_axis": false,
|
3 |
+
"do_normalize": true,
|
4 |
+
"do_pad": true,
|
5 |
+
"do_rescale": true,
|
6 |
+
"do_resize": true,
|
7 |
+
"do_thumbnail": true,
|
8 |
+
"image_mean": [
|
9 |
+
0.5,
|
10 |
+
0.5,
|
11 |
+
0.5
|
12 |
+
],
|
13 |
+
"image_processor_type": "DonutImageProcessor",
|
14 |
+
"image_std": [
|
15 |
+
0.5,
|
16 |
+
0.5,
|
17 |
+
0.5
|
18 |
+
],
|
19 |
+
"processor_class": "DonutProcessor",
|
20 |
+
"resample": 2,
|
21 |
+
"rescale_factor": 0.00392156862745098,
|
22 |
+
"size": [
|
23 |
+
780,
|
24 |
+
1050
|
25 |
+
]
|
26 |
+
}
|
sentencepiece.bpe.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:cb9e3dce4c326195d08fc3dd0f7e2eee1da8595c847bf4c1a9c78b7a82d47e2d
|
3 |
+
size 1296245
|
special_tokens_map.json
ADDED
@@ -0,0 +1,249 @@
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|
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|
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|
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|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
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|
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|
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|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
|
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|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
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|
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|
|
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|
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|
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|
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|
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|
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|
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|
|
|
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|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
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|
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|
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|
|
|
|
|
1 |
+
{
|
2 |
+
"additional_special_tokens": [
|
3 |
+
{
|
4 |
+
"content": "<s_Consignor>",
|
5 |
+
"lstrip": false,
|
6 |
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|
7 |
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|
8 |
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|
9 |
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|
10 |
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{
|
11 |
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|
12 |
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|
13 |
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|
14 |
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|
15 |
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|
16 |
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},
|
17 |
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{
|
18 |
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"content": "<s_Consignee>",
|
19 |
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|
20 |
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|
21 |
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|
22 |
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|
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|
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{
|
25 |
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|
26 |
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|
27 |
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|
28 |
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|
29 |
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|
30 |
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},
|
31 |
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{
|
32 |
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"content": "<s_Notify>",
|
33 |
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|
34 |
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|
35 |
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|
36 |
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|
37 |
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},
|
38 |
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{
|
39 |
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|
40 |
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|
41 |
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|
42 |
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|
43 |
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|
44 |
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},
|
45 |
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{
|
46 |
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"content": "<s_Second_Notify>",
|
47 |
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|
48 |
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|
49 |
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|
50 |
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|
51 |
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},
|
52 |
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{
|
53 |
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"content": "</s_Second_Notify>",
|
54 |
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|
55 |
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|
56 |
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|
57 |
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"single_word": false
|
58 |
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},
|
59 |
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{
|
60 |
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"content": "<s_Goods_Description>",
|
61 |
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"lstrip": false,
|
62 |
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"normalized": false,
|
63 |
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"rstrip": false,
|
64 |
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"single_word": false
|
65 |
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},
|
66 |
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{
|
67 |
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"content": "</s_Goods_Description>",
|
68 |
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"lstrip": false,
|
69 |
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"normalized": false,
|
70 |
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"rstrip": false,
|
71 |
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"single_word": false
|
72 |
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},
|
73 |
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{
|
74 |
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"content": "<s_Marks>",
|
75 |
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"lstrip": false,
|
76 |
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"normalized": false,
|
77 |
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"rstrip": false,
|
78 |
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"single_word": false
|
79 |
+
},
|
80 |
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{
|
81 |
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"content": "</s_Marks>",
|
82 |
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"lstrip": false,
|
83 |
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"normalized": false,
|
84 |
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|
85 |
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"single_word": false
|
86 |
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},
|
87 |
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{
|
88 |
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"content": "<s_Total_Packages>",
|
89 |
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"lstrip": false,
|
90 |
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"normalized": false,
|
91 |
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|
92 |
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|
93 |
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},
|
94 |
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{
|
95 |
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"content": "</s_Total_Packages>",
|
96 |
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|
97 |
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|
98 |
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|
99 |
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"single_word": false
|
100 |
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},
|
101 |
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{
|
102 |
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"content": "<s_Total_Weight>",
|
103 |
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"lstrip": false,
|
104 |
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"normalized": false,
|
105 |
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"rstrip": false,
|
106 |
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"single_word": false
|
107 |
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},
|
108 |
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{
|
109 |
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"content": "</s_Total_Weight>",
|
110 |
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"lstrip": false,
|
111 |
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"normalized": false,
|
112 |
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"rstrip": false,
|
113 |
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"single_word": false
|
114 |
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},
|
115 |
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{
|
116 |
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"content": "<s_Total_Volume>",
|
117 |
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"lstrip": false,
|
118 |
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"normalized": false,
|
119 |
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"rstrip": false,
|
120 |
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"single_word": false
|
121 |
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},
|
122 |
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{
|
123 |
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"content": "</s_Total_Volume>",
|
124 |
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"lstrip": false,
|
125 |
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"normalized": false,
|
126 |
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|
127 |
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"single_word": false
|
128 |
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},
|
129 |
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{
|
130 |
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"content": "<s_Consignor_Country>",
|
131 |
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"lstrip": false,
|
132 |
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"normalized": false,
|
133 |
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"rstrip": false,
|
134 |
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"single_word": false
|
135 |
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},
|
136 |
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{
|
137 |
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"content": "</s_Consignor_Country>",
|
138 |
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"lstrip": false,
|
139 |
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"normalized": false,
|
140 |
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"rstrip": false,
|
141 |
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"single_word": false
|
142 |
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},
|
143 |
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{
|
144 |
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"content": "<s_Consignee_Country>",
|
145 |
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"lstrip": false,
|
146 |
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"normalized": false,
|
147 |
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"rstrip": false,
|
148 |
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|
149 |
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},
|
150 |
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{
|
151 |
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"content": "</s_Consignee_Country>",
|
152 |
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|
153 |
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|
154 |
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|
155 |
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|
156 |
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},
|
157 |
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{
|
158 |
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"content": "<s_Notify_Country>",
|
159 |
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|
160 |
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|
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|
162 |
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|
163 |
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},
|
164 |
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{
|
165 |
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"content": "</s_Notify_Country>",
|
166 |
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|
167 |
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|
168 |
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|
169 |
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|
170 |
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},
|
171 |
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{
|
172 |
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"content": "<s_Second_Notify_Country>",
|
173 |
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"lstrip": false,
|
174 |
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|
175 |
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|
176 |
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|
177 |
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},
|
178 |
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{
|
179 |
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"content": "</s_Second_Notify_Country>",
|
180 |
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|
181 |
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|
182 |
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|
183 |
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|
184 |
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},
|
185 |
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{
|
186 |
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"content": "<s>",
|
187 |
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|
188 |
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|
189 |
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|
190 |
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|
191 |
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},
|
192 |
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{
|
193 |
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"content": "</s>",
|
194 |
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|
195 |
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|
196 |
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"rstrip": false,
|
197 |
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"single_word": false
|
198 |
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}
|
199 |
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],
|
200 |
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"bos_token": {
|
201 |
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"content": "<s>",
|
202 |
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|
203 |
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|
204 |
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"rstrip": false,
|
205 |
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|
206 |
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},
|
207 |
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"cls_token": {
|
208 |
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"content": "<s>",
|
209 |
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|
210 |
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"normalized": false,
|
211 |
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"rstrip": false,
|
212 |
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"single_word": false
|
213 |
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},
|
214 |
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"eos_token": {
|
215 |
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"content": "</s>",
|
216 |
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"lstrip": false,
|
217 |
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"normalized": false,
|
218 |
+
"rstrip": false,
|
219 |
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"single_word": false
|
220 |
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},
|
221 |
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"mask_token": {
|
222 |
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"content": "<mask>",
|
223 |
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"lstrip": true,
|
224 |
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"normalized": true,
|
225 |
+
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|
226 |
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"single_word": false
|
227 |
+
},
|
228 |
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"pad_token": {
|
229 |
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"content": "<pad>",
|
230 |
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|
231 |
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|
232 |
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|
233 |
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|
234 |
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},
|
235 |
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|
236 |
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"content": "</s>",
|
237 |
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|
238 |
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|
239 |
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|
240 |
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"single_word": false
|
241 |
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},
|
242 |
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"unk_token": {
|
243 |
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"content": "<unk>",
|
244 |
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|
245 |
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|
246 |
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"rstrip": false,
|
247 |
+
"single_word": false
|
248 |
+
}
|
249 |
+
}
|
tokenizer.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|
tokenizer_config.json
ADDED
@@ -0,0 +1,318 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
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|
|
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|
|
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|
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1 |
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{
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"added_tokens_decoder": {
|
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209 |
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210 |
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212 |
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213 |
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214 |
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227 |
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228 |
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303 |
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|
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314 |
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315 |
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"tokenizer_class": "XLMRobertaTokenizer",
|
317 |
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"unk_token": "<unk>"
|
318 |
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}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:006510a375a842760c58c4902a42bfb74c9c596a5dfaef26bb2ee6e523ff75f2
|
3 |
+
size 5048
|