Upload 13 files
Browse files- README.md +109 -3
- all_results.json +16 -0
- config.json +62 -0
- eval_results.json +9 -0
- generation_config.json +7 -0
- model.safetensors +3 -0
- special_tokens_map.json +125 -0
- spiece.model +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +938 -0
- train_results.json +11 -0
- trainer_state.json +1548 -0
- training_args.bin +3 -0
README.md
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---
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---
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language:
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- en
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license: apache-2.0
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base_model: google/flan-t5-small
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tags:
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- generated_from_trainer
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datasets:
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- sentence-paraphrases
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model-index:
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- name: flan-t5-small-simplifier
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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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# flan-t5-small-simplifier
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For paraphrasing and simplifying English text.
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Fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on the agentlans/sentence-paraphrases dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.1518
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- Num Input Tokens Seen: 32939232
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## Intended uses & limitations
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Works best on sentence length texts.
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```
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import torch
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from transformers import pipeline
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# Check if GPU is available
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device = 0 if torch.cuda.is_available() else -1
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# Initialize the pipeline
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model_name = "agentlans/flan-t5-small-simplifier"
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flan_t5_pipeline = pipeline("text2text-generation", model=model_name, device=device)
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# Example input
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input_text = "While navigating the labyrinthine corridors of epistemological uncertainty, the precocious philosopher—whose seminal work on phenomenological interpretation had already garnered significant academic acclaim—paused momentarily to contemplate the intricate interplay between subjective perception and objective reality, ultimately recognizing that the boundaries of human understanding are perpetually fluid and dynamically reconstructed through continuous intellectual discourse and empirical investigation."
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# Generate output
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output = flan_t5_pipeline(input_text, max_length=1024)
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# Print the result
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print(output[0]["generated_text"])
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# The precocious philosopher, who had already been a major academic acclaim for his seminal work on phenomenological interpretation, paused momentarily to contemplate the intricate interplay between subjective perception and objective reality, recognizing that the boundaries of human understanding are perpetually fluid and dynamically reconstructed through continuous intellectual discourse and empirical investigation.
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```
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Limitations:
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- English only
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- Doesn't handle mixed language texts well (for example, English with Greek letter words)
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- Might not be able to simplify some texts
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## Training and evaluation data
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agentlans/sentence-paraphrases
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This dataset is a curated collection of sentence-length paraphrases derived from two primary sources:
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humarin/chatgpt-paraphrases
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xwjzds/paraphrase_collections.
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Dataset Details
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Dataset Description
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The dataset is structured to provide pairs of sentences from an original text and its paraphrase(s). For each entry:
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The "text" field contains the least readable paraphrase.
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The "paraphrase" field contains the most readable paraphrase.
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Readability was assessed using the agentlans/deberta-v3-xsmall-zyda-2-readability model.
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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: 5e-05
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- train_batch_size: 8
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- eval_batch_size: 8
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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: 2.0
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Input Tokens Seen |
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|:-------------:|:------:|:-----:|:---------------:|:-----------------:|
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| 1.4423 | 0.2224 | 10000 | 1.2431 | 3655312 |
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| 1.3884 | 0.4448 | 20000 | 1.2093 | 7331520 |
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| 1.3782 | 0.6673 | 30000 | 1.1859 | 10990432 |
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| 1.3595 | 0.8897 | 40000 | 1.1787 | 14653328 |
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| 1.3059 | 1.1121 | 50000 | 1.1665 | 18326104 |
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| 1.3298 | 1.3345 | 60000 | 1.1589 | 21991016 |
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| 1.2994 | 1.5569 | 70000 | 1.1562 | 25656600 |
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| 1.2952 | 1.7794 | 80000 | 1.1518 | 29314808 |
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### Framework versions
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- Transformers 4.43.3
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- Pytorch 2.3.0+cu121
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- Datasets 3.2.0
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- Tokenizers 0.19.1
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all_results.json
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{
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"epoch": 2.0,
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"eval_loss": 1.1517876386642456,
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"eval_runtime": 2.8065,
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"eval_samples": 2500,
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"eval_samples_per_second": 890.786,
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"eval_steps_per_second": 111.526,
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"num_input_tokens_seen": 32939232,
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"total_flos": 1.1959161056722944e+16,
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"train_loss": 1.358397777055082,
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"train_runtime": 3698.2072,
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"train_samples": 359680,
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"train_samples_per_second": 194.516,
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"train_steps_per_second": 24.314,
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"train_tokens_per_second": 8905.5
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}
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config.json
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{
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"_name_or_path": "google/flan-t5-small",
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"architectures": [
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"T5ForConditionalGeneration"
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],
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"classifier_dropout": 0.0,
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"d_ff": 1024,
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"d_kv": 64,
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"d_model": 512,
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"decoder_start_token_id": 0,
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"dense_act_fn": "gelu_new",
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"dropout_rate": 0.1,
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"eos_token_id": 1,
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"feed_forward_proj": "gated-gelu",
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"initializer_factor": 1.0,
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"is_encoder_decoder": true,
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"is_gated_act": true,
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"layer_norm_epsilon": 1e-06,
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"model_type": "t5",
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"n_positions": 512,
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"num_decoder_layers": 8,
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"num_heads": 6,
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"num_layers": 8,
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"output_past": true,
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"pad_token_id": 0,
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"relative_attention_max_distance": 128,
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"relative_attention_num_buckets": 32,
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"task_specific_params": {
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"summarization": {
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"early_stopping": true,
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"length_penalty": 2.0,
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"max_length": 200,
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"min_length": 30,
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"no_repeat_ngram_size": 3,
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"num_beams": 4,
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"prefix": "summarize: "
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},
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"translation_en_to_de": {
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"early_stopping": true,
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"max_length": 300,
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"num_beams": 4,
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"prefix": "translate English to German: "
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},
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"translation_en_to_fr": {
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"early_stopping": true,
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"max_length": 300,
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"num_beams": 4,
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"prefix": "translate English to French: "
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},
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"translation_en_to_ro": {
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"early_stopping": true,
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"max_length": 300,
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"num_beams": 4,
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"prefix": "translate English to Romanian: "
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}
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},
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"tie_word_embeddings": false,
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"torch_dtype": "float32",
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"transformers_version": "4.43.3",
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"use_cache": true,
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"vocab_size": 32128
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}
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eval_results.json
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{
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"epoch": 2.0,
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"eval_loss": 1.1517876386642456,
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"eval_runtime": 2.8065,
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"eval_samples": 2500,
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"eval_samples_per_second": 890.786,
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"eval_steps_per_second": 111.526,
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"num_input_tokens_seen": 32939232
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}
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generation_config.json
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{
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"_from_model_config": true,
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"decoder_start_token_id": 0,
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"eos_token_id": 1,
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"pad_token_id": 0,
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"transformers_version": "4.43.3"
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:60b88aa834b0082713d975c6bfc35e06f3285d250cc0d36872a769c3993903b7
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size 307867048
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special_tokens_map.json
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{
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"additional_special_tokens": [
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"<extra_id_0>",
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"<extra_id_1>",
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"<extra_id_2>",
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"<extra_id_3>",
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"<extra_id_4>",
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"<extra_id_5>",
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"<extra_id_6>",
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"<extra_id_7>",
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"<extra_id_8>",
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"<extra_id_9>",
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"<extra_id_10>",
|
| 14 |
+
"<extra_id_11>",
|
| 15 |
+
"<extra_id_12>",
|
| 16 |
+
"<extra_id_13>",
|
| 17 |
+
"<extra_id_14>",
|
| 18 |
+
"<extra_id_15>",
|
| 19 |
+
"<extra_id_16>",
|
| 20 |
+
"<extra_id_17>",
|
| 21 |
+
"<extra_id_18>",
|
| 22 |
+
"<extra_id_19>",
|
| 23 |
+
"<extra_id_20>",
|
| 24 |
+
"<extra_id_21>",
|
| 25 |
+
"<extra_id_22>",
|
| 26 |
+
"<extra_id_23>",
|
| 27 |
+
"<extra_id_24>",
|
| 28 |
+
"<extra_id_25>",
|
| 29 |
+
"<extra_id_26>",
|
| 30 |
+
"<extra_id_27>",
|
| 31 |
+
"<extra_id_28>",
|
| 32 |
+
"<extra_id_29>",
|
| 33 |
+
"<extra_id_30>",
|
| 34 |
+
"<extra_id_31>",
|
| 35 |
+
"<extra_id_32>",
|
| 36 |
+
"<extra_id_33>",
|
| 37 |
+
"<extra_id_34>",
|
| 38 |
+
"<extra_id_35>",
|
| 39 |
+
"<extra_id_36>",
|
| 40 |
+
"<extra_id_37>",
|
| 41 |
+
"<extra_id_38>",
|
| 42 |
+
"<extra_id_39>",
|
| 43 |
+
"<extra_id_40>",
|
| 44 |
+
"<extra_id_41>",
|
| 45 |
+
"<extra_id_42>",
|
| 46 |
+
"<extra_id_43>",
|
| 47 |
+
"<extra_id_44>",
|
| 48 |
+
"<extra_id_45>",
|
| 49 |
+
"<extra_id_46>",
|
| 50 |
+
"<extra_id_47>",
|
| 51 |
+
"<extra_id_48>",
|
| 52 |
+
"<extra_id_49>",
|
| 53 |
+
"<extra_id_50>",
|
| 54 |
+
"<extra_id_51>",
|
| 55 |
+
"<extra_id_52>",
|
| 56 |
+
"<extra_id_53>",
|
| 57 |
+
"<extra_id_54>",
|
| 58 |
+
"<extra_id_55>",
|
| 59 |
+
"<extra_id_56>",
|
| 60 |
+
"<extra_id_57>",
|
| 61 |
+
"<extra_id_58>",
|
| 62 |
+
"<extra_id_59>",
|
| 63 |
+
"<extra_id_60>",
|
| 64 |
+
"<extra_id_61>",
|
| 65 |
+
"<extra_id_62>",
|
| 66 |
+
"<extra_id_63>",
|
| 67 |
+
"<extra_id_64>",
|
| 68 |
+
"<extra_id_65>",
|
| 69 |
+
"<extra_id_66>",
|
| 70 |
+
"<extra_id_67>",
|
| 71 |
+
"<extra_id_68>",
|
| 72 |
+
"<extra_id_69>",
|
| 73 |
+
"<extra_id_70>",
|
| 74 |
+
"<extra_id_71>",
|
| 75 |
+
"<extra_id_72>",
|
| 76 |
+
"<extra_id_73>",
|
| 77 |
+
"<extra_id_74>",
|
| 78 |
+
"<extra_id_75>",
|
| 79 |
+
"<extra_id_76>",
|
| 80 |
+
"<extra_id_77>",
|
| 81 |
+
"<extra_id_78>",
|
| 82 |
+
"<extra_id_79>",
|
| 83 |
+
"<extra_id_80>",
|
| 84 |
+
"<extra_id_81>",
|
| 85 |
+
"<extra_id_82>",
|
| 86 |
+
"<extra_id_83>",
|
| 87 |
+
"<extra_id_84>",
|
| 88 |
+
"<extra_id_85>",
|
| 89 |
+
"<extra_id_86>",
|
| 90 |
+
"<extra_id_87>",
|
| 91 |
+
"<extra_id_88>",
|
| 92 |
+
"<extra_id_89>",
|
| 93 |
+
"<extra_id_90>",
|
| 94 |
+
"<extra_id_91>",
|
| 95 |
+
"<extra_id_92>",
|
| 96 |
+
"<extra_id_93>",
|
| 97 |
+
"<extra_id_94>",
|
| 98 |
+
"<extra_id_95>",
|
| 99 |
+
"<extra_id_96>",
|
| 100 |
+
"<extra_id_97>",
|
| 101 |
+
"<extra_id_98>",
|
| 102 |
+
"<extra_id_99>"
|
| 103 |
+
],
|
| 104 |
+
"eos_token": {
|
| 105 |
+
"content": "</s>",
|
| 106 |
+
"lstrip": false,
|
| 107 |
+
"normalized": false,
|
| 108 |
+
"rstrip": false,
|
| 109 |
+
"single_word": false
|
| 110 |
+
},
|
| 111 |
+
"pad_token": {
|
| 112 |
+
"content": "<pad>",
|
| 113 |
+
"lstrip": false,
|
| 114 |
+
"normalized": false,
|
| 115 |
+
"rstrip": false,
|
| 116 |
+
"single_word": false
|
| 117 |
+
},
|
| 118 |
+
"unk_token": {
|
| 119 |
+
"content": "<unk>",
|
| 120 |
+
"lstrip": false,
|
| 121 |
+
"normalized": false,
|
| 122 |
+
"rstrip": false,
|
| 123 |
+
"single_word": false
|
| 124 |
+
}
|
| 125 |
+
}
|
spiece.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d60acb128cf7b7f2536e8f38a5b18a05535c9e14c7a355904270e15b0945ea86
|
| 3 |
+
size 791656
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1,938 @@
|
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| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
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"0": {
|
| 4 |
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|
| 5 |
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| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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"special": true
|
| 10 |
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|
| 11 |
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"1": {
|
| 12 |
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"content": "</s>",
|
| 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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"special": true
|
| 18 |
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},
|
| 19 |
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"2": {
|
| 20 |
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| 21 |
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| 22 |
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| 23 |
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| 24 |
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|
| 25 |
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"special": true
|
| 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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| 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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| 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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| 54 |
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| 55 |
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| 56 |
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| 57 |
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| 58 |
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| 59 |
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| 60 |
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| 61 |
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| 62 |
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| 63 |
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| 64 |
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| 65 |
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| 66 |
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| 67 |
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|
| 68 |
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|
| 69 |
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| 70 |
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| 71 |
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| 72 |
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| 73 |
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| 74 |
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| 75 |
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|
| 76 |
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| 77 |
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| 78 |
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| 79 |
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| 80 |
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| 81 |
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| 82 |
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| 83 |
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| 84 |
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|
| 85 |
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| 86 |
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| 87 |
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| 88 |
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| 89 |
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| 90 |
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| 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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|
| 96 |
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|
| 97 |
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|
| 98 |
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| 99 |
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|
| 100 |
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"content": "<extra_id_90>",
|
| 101 |
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|
| 102 |
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| 103 |
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|
| 104 |
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|
| 105 |
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|
| 106 |
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|
| 107 |
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|
| 108 |
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|
| 109 |
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|
| 110 |
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| 111 |
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| 112 |
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| 113 |
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|
| 114 |
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| 115 |
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|
| 116 |
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|
| 117 |
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| 118 |
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| 119 |
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|
| 120 |
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| 121 |
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|
| 122 |
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|
| 123 |
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| 124 |
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|
| 125 |
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| 126 |
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| 127 |
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| 128 |
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|
| 129 |
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|
| 130 |
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| 131 |
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| 132 |
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| 133 |
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| 134 |
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| 135 |
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|
| 136 |
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|
| 137 |
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|
| 138 |
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| 139 |
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|
| 140 |
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|
| 141 |
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|
| 142 |
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| 143 |
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|
| 144 |
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|
| 145 |
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|
| 146 |
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|
| 147 |
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|
| 148 |
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|
| 149 |
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|
| 150 |
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| 151 |
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|
| 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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"content": "<extra_id_83>",
|
| 157 |
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|
| 158 |
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| 159 |
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| 160 |
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| 161 |
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|
| 162 |
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| 163 |
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|
| 164 |
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|
| 165 |
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|
| 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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| 173 |
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|
| 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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|
| 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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| 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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|
| 194 |
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|
| 195 |
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|
| 196 |
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|
| 197 |
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|
| 198 |
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| 199 |
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| 200 |
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| 201 |
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|
| 202 |
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|
| 203 |
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|
| 204 |
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|
| 205 |
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|
| 206 |
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| 207 |
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| 208 |
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| 209 |
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| 210 |
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| 211 |
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|
| 212 |
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|
| 213 |
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| 214 |
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| 215 |
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| 216 |
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| 217 |
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| 218 |
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| 219 |
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| 220 |
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|
| 221 |
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| 222 |
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| 223 |
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| 224 |
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| 225 |
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| 226 |
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| 227 |
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|
| 228 |
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| 229 |
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| 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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| 241 |
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| 242 |
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| 243 |
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| 244 |
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| 245 |
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| 273 |
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| 274 |
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| 275 |
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| 276 |
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| 277 |
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| 281 |
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| 282 |
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| 283 |
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| 284 |
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"content": "<extra_id_12>",
|
| 725 |
+
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|
| 726 |
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|
| 727 |
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|
| 728 |
+
"single_word": false,
|
| 729 |
+
"special": true
|
| 730 |
+
},
|
| 731 |
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"32088": {
|
| 732 |
+
"content": "<extra_id_11>",
|
| 733 |
+
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|
| 734 |
+
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|
| 735 |
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|
| 736 |
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"single_word": false,
|
| 737 |
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"special": true
|
| 738 |
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},
|
| 739 |
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"32089": {
|
| 740 |
+
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|
| 741 |
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|
| 742 |
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|
| 743 |
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|
| 744 |
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|
| 745 |
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"special": true
|
| 746 |
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|
| 747 |
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"32090": {
|
| 748 |
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|
| 749 |
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|
| 750 |
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|
| 751 |
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|
| 752 |
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|
| 753 |
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|
| 754 |
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|
| 755 |
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|
| 756 |
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|
| 757 |
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|
| 758 |
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|
| 759 |
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|
| 760 |
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|
| 761 |
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|
| 762 |
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|
| 763 |
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|
| 764 |
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|
| 765 |
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|
| 766 |
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|
| 767 |
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|
| 768 |
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|
| 769 |
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|
| 770 |
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|
| 771 |
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|
| 772 |
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|
| 773 |
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|
| 774 |
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|
| 775 |
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|
| 776 |
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|
| 777 |
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|
| 778 |
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},
|
| 779 |
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|
| 780 |
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|
| 781 |
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|
| 782 |
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|
| 783 |
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|
| 784 |
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|
| 785 |
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|
| 786 |
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|
| 787 |
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|
| 788 |
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|
| 789 |
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|
| 790 |
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|
| 791 |
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|
| 792 |
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|
| 793 |
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|
| 794 |
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},
|
| 795 |
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|
| 796 |
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|
| 797 |
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|
| 798 |
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|
| 799 |
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|
| 800 |
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| 801 |
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|
| 802 |
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},
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| 803 |
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|
| 804 |
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| 805 |
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| 806 |
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| 807 |
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|
| 808 |
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|
| 809 |
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|
| 810 |
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},
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| 811 |
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|
| 812 |
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| 813 |
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| 814 |
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| 815 |
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|
| 816 |
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|
| 817 |
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|
| 818 |
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},
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| 819 |
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| 820 |
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| 821 |
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| 822 |
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| 823 |
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| 824 |
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|
| 825 |
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|
| 826 |
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|
| 827 |
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},
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| 828 |
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| 829 |
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| 832 |
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| 839 |
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| 840 |
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| 842 |
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| 844 |
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| 845 |
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| 846 |
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| 847 |
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| 848 |
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| 849 |
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| 850 |
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| 851 |
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| 852 |
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| 853 |
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| 854 |
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| 855 |
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| 856 |
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| 857 |
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| 858 |
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| 859 |
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| 860 |
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|
| 861 |
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| 862 |
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|
| 863 |
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|
| 864 |
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|
| 865 |
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|
| 866 |
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"<extra_id_37>",
|
| 867 |
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|
| 868 |
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|
| 869 |
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|
| 870 |
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|
| 871 |
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|
| 872 |
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"<extra_id_43>",
|
| 873 |
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| 874 |
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"<extra_id_45>",
|
| 875 |
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"<extra_id_46>",
|
| 876 |
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|
| 877 |
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|
| 878 |
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|
| 879 |
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| 880 |
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|
| 881 |
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|
| 882 |
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|
| 883 |
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| 884 |
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|
| 885 |
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| 886 |
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|
| 887 |
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|
| 888 |
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| 889 |
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|
| 890 |
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|
| 891 |
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|
| 892 |
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|
| 893 |
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"<extra_id_64>",
|
| 894 |
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"<extra_id_65>",
|
| 895 |
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"<extra_id_66>",
|
| 896 |
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"<extra_id_67>",
|
| 897 |
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"<extra_id_68>",
|
| 898 |
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"<extra_id_69>",
|
| 899 |
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"<extra_id_70>",
|
| 900 |
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"<extra_id_71>",
|
| 901 |
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|
| 902 |
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"<extra_id_73>",
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| 903 |
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|
| 904 |
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| 905 |
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| 906 |
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| 907 |
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|
| 908 |
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|
| 909 |
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"<extra_id_80>",
|
| 910 |
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| 911 |
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| 912 |
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"<extra_id_83>",
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| 913 |
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| 914 |
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"<extra_id_85>",
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| 915 |
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"<extra_id_86>",
|
| 916 |
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"<extra_id_87>",
|
| 917 |
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"<extra_id_88>",
|
| 918 |
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"<extra_id_89>",
|
| 919 |
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"<extra_id_90>",
|
| 920 |
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"<extra_id_91>",
|
| 921 |
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"<extra_id_92>",
|
| 922 |
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"<extra_id_93>",
|
| 923 |
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"<extra_id_94>",
|
| 924 |
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"<extra_id_95>",
|
| 925 |
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"<extra_id_96>",
|
| 926 |
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"<extra_id_97>",
|
| 927 |
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"<extra_id_98>",
|
| 928 |
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"<extra_id_99>"
|
| 929 |
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],
|
| 930 |
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|
| 931 |
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"eos_token": "</s>",
|
| 932 |
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"extra_ids": 100,
|
| 933 |
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"model_max_length": 512,
|
| 934 |
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"pad_token": "<pad>",
|
| 935 |
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"sp_model_kwargs": {},
|
| 936 |
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"tokenizer_class": "T5Tokenizer",
|
| 937 |
+
"unk_token": "<unk>"
|
| 938 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,11 @@
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 2.0,
|
| 3 |
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"num_input_tokens_seen": 32939232,
|
| 4 |
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"total_flos": 1.1959161056722944e+16,
|
| 5 |
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"train_loss": 1.358397777055082,
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| 6 |
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"train_runtime": 3698.2072,
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| 7 |
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"train_samples": 359680,
|
| 8 |
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"train_samples_per_second": 194.516,
|
| 9 |
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"train_steps_per_second": 24.314,
|
| 10 |
+
"train_tokens_per_second": 8905.5
|
| 11 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,1548 @@
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|
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|
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training_args.bin
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