Upload 14 files
Browse files- README.md +100 -3
- added_tokens.json +4 -0
- 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 +956 -0
- train_results.json +11 -0
- trainer_state.json +1681 -0
- training_args.bin +3 -0
README.md
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---
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library_name: transformers
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license: apache-2.0
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datasets:
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- Universal-NER/Pile-NER-type
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- Universal-NER/Pile-NER-definition
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language:
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- en
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base_model:
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- google/flan-t5-small
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pipeline_tag: text2text-generation
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tags:
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- named-entity-recognition
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- generated_from_trainer
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---
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# flan-t5-small-ner
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This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small)
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on 200 000 random (text, entity) combinations from the
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[Universal-NER/Pile-NER-type](https://huggingface.co/datasets/Universal-NER/Pile-NER-type) and
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[Universal-NER/Pile-NER-definition](https://huggingface.co/datasets/Universal-NER/Pile-NER-definition) datasets.
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- Loss: 0.5393
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- Num Input Tokens Seen: 332318598
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## Model Description
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flan-t5-small-ner can extract entities of specific types or definitions from text such as person, company, school, technology, and many more.
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It builds upon the FLAN-T5 architecture, which has strong performance across natural language processing tasks.
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Example:
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```python
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from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
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import torch
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model_path = "agentlans/flan-t5-small-ner"
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model = AutoModelForSeq2SeqLM.from_pretrained(model_path).to("cuda" if torch.cuda.is_available() else "cpu")
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tokenizer = AutoTokenizer.from_pretrained(model_path)
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def custom_split(s): # Processes the output from the model
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parts = s.split("<|sep|>")
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if not s.endswith("<|end|>"):
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parts = parts[:-1] # If output is truncated, then don't include last item
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else:
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parts[-1] = parts[-1].replace("<|end|>", "") # Remove the marker tokens
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return [p.strip() for p in parts if p.strip()]
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def find_entities(input_text, entity_type):
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txt = entity_type + "<|sep|>" + input_text + "<|end|>" # Important: need exact input format
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inputs = tokenizer(txt, return_tensors="pt").to(model.device)
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outputs = model.generate(**inputs, max_new_tokens=100)
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decoded = tokenizer.decode(outputs[0], skip_special_tokens=True)
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return custom_split(decoded)
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# Example usage
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input_text = "In the bustling metropolis of New York City, Apple Inc. sponsored a conference where Dr. Elena Rodriguez presented groundbreaking research about neuroscience and AI."
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print(find_entities(input_text, "person")) # ['Elena Rodriguez']
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print(find_entities(input_text, "company")) # ['Apple Inc.']
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print(find_entities(input_text, "fruit")) # []
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print(find_entities(input_text, "subject")) # ['neuroscience', 'AI']
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```
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## Limitations
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- False positives and negatives are possible.
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- May struggle with specialized knowledge or fine distinctions.
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- Performance may vary for very short or long texts.
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- English language only.
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- Consider privacy when processing sensitive text.
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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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- num_epochs: 5.0
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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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| 0.8398 | 1.0 | 19991 | 0.6227 | 66451084 |
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| 0.7203 | 2.0 | 39982 | 0.5679 | 132976438 |
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| 0.6479 | 3.0 | 59973 | 0.5605 | 199402582 |
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| 0.6023 | 4.0 | 79964 | 0.5427 | 265875340 |
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| 0.5879 | 5.0 | 99955 | 0.5393 | 332318598 |
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## Framework Versions
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- Transformers: 4.46.3
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- PyTorch: 2.5.1+cu124
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- Datasets: 3.2.0
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- Tokenizers: 0.20.3
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added_tokens.json
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{
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"<|end|>": 32101,
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"<|sep|>": 32100
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}
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all_results.json
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{
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"epoch": 5.0,
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"eval_loss": 0.5393198132514954,
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"eval_runtime": 96.9251,
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"eval_samples": 39981,
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"eval_samples_per_second": 412.494,
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"eval_steps_per_second": 51.566,
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"num_input_tokens_seen": 332318598,
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"total_flos": 1.2062750373789696e+17,
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"train_loss": 0.7601320325591829,
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"train_runtime": 7988.2275,
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"train_samples": 159922,
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"train_samples_per_second": 100.099,
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"train_steps_per_second": 12.513,
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"train_tokens_per_second": 41593.134
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}
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config.json
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{
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"_name_or_path": "flan-t5-small-with-list-tokens",
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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": "4.46.3",
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"use_cache": true,
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"vocab_size": 32102
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}
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eval_results.json
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{
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"epoch": 5.0,
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"eval_loss": 0.5393198132514954,
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"eval_runtime": 96.9251,
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"eval_samples": 39981,
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"eval_samples_per_second": 412.494,
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"eval_steps_per_second": 51.566,
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"num_input_tokens_seen": 332318598
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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": "4.46.3"
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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 sha256:573c84dccd8e73c9f70e0c012c482bcc591e45ca79645251fb6487bbfc0d8456
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size 307760552
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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>",
|
| 12 |
+
"<extra_id_9>",
|
| 13 |
+
"<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 +1,956 @@
|
|
|
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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 |
+
"add_prefix_space": true,
|
| 3 |
+
"added_tokens_decoder": {
|
| 4 |
+
"0": {
|
| 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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|
| 10 |
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"special": true
|
| 11 |
+
},
|
| 12 |
+
"1": {
|
| 13 |
+
"content": "</s>",
|
| 14 |
+
"lstrip": false,
|
| 15 |
+
"normalized": false,
|
| 16 |
+
"rstrip": false,
|
| 17 |
+
"single_word": false,
|
| 18 |
+
"special": true
|
| 19 |
+
},
|
| 20 |
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"2": {
|
| 21 |
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|
| 22 |
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"lstrip": false,
|
| 23 |
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"normalized": false,
|
| 24 |
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"rstrip": false,
|
| 25 |
+
"single_word": false,
|
| 26 |
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"special": true
|
| 27 |
+
},
|
| 28 |
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"32000": {
|
| 29 |
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"content": "<extra_id_99>",
|
| 30 |
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|
| 31 |
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"normalized": false,
|
| 32 |
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"rstrip": false,
|
| 33 |
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"single_word": false,
|
| 34 |
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"special": true
|
| 35 |
+
},
|
| 36 |
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"32001": {
|
| 37 |
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"content": "<extra_id_98>",
|
| 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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"content": "<extra_id_97>",
|
| 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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"special": true
|
| 51 |
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|
| 52 |
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|
| 53 |
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"content": "<extra_id_96>",
|
| 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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"special": true
|
| 67 |
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|
| 68 |
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|
| 69 |
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"content": "<extra_id_94>",
|
| 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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"special": true
|
| 75 |
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|
| 76 |
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|
| 77 |
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"content": "<extra_id_93>",
|
| 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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"content": "<extra_id_92>",
|
| 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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"content": "<extra_id_91>",
|
| 94 |
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|
| 95 |
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"normalized": false,
|
| 96 |
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"rstrip": false,
|
| 97 |
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"single_word": false,
|
| 98 |
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"special": true
|
| 99 |
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},
|
| 100 |
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"32009": {
|
| 101 |
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"content": "<extra_id_90>",
|
| 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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"special": true
|
| 107 |
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},
|
| 108 |
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|
| 109 |
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"content": "<extra_id_89>",
|
| 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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"content": "<extra_id_88>",
|
| 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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"content": "<extra_id_86>",
|
| 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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"content": "<extra_id_85>",
|
| 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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"special": true
|
| 147 |
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},
|
| 148 |
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|
| 149 |
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"content": "<extra_id_84>",
|
| 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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"special": true
|
| 155 |
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},
|
| 156 |
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"32016": {
|
| 157 |
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"content": "<extra_id_83>",
|
| 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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"content": "<extra_id_80>",
|
| 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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"content": "<extra_id_78>",
|
| 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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| 237 |
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| 238 |
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| 240 |
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| 242 |
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| 243 |
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| 244 |
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| 245 |
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| 246 |
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| 247 |
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| 250 |
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| 251 |
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| 253 |
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| 254 |
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| 259 |
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| 275 |
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| 276 |
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| 277 |
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| 278 |
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|
| 714 |
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|
| 715 |
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},
|
| 716 |
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|
| 717 |
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|
| 718 |
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|
| 719 |
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|
| 720 |
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|
| 721 |
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|
| 722 |
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|
| 723 |
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|
| 724 |
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"32087": {
|
| 725 |
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|
| 726 |
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|
| 727 |
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|
| 728 |
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|
| 729 |
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|
| 730 |
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|
| 731 |
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|
| 732 |
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|
| 733 |
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|
| 734 |
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|
| 735 |
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|
| 736 |
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|
| 737 |
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|
| 738 |
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|
| 739 |
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|
| 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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|
| 746 |
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|
| 747 |
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|
| 748 |
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"32090": {
|
| 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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|
| 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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|
| 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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| 817 |
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| 818 |
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| 819 |
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| 820 |
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| 821 |
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| 822 |
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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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| 830 |
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| 831 |
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| 832 |
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| 833 |
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| 834 |
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| 835 |
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| 837 |
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| 839 |
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| 840 |
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| 841 |
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| 842 |
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| 843 |
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| 844 |
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| 845 |
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| 864 |
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| 865 |
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| 868 |
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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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| 894 |
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| 895 |
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| 896 |
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| 897 |
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| 898 |
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| 899 |
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| 900 |
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| 901 |
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| 905 |
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| 906 |
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| 908 |
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| 909 |
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| 910 |
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| 911 |
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| 912 |
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| 913 |
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| 914 |
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| 915 |
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| 916 |
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| 917 |
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| 918 |
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| 919 |
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| 920 |
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| 921 |
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| 922 |
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| 923 |
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| 924 |
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| 925 |
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| 926 |
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| 927 |
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| 928 |
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| 929 |
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| 930 |
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| 931 |
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| 932 |
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| 933 |
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"<extra_id_87>",
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| 934 |
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"<extra_id_88>",
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| 935 |
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|
| 936 |
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| 937 |
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|
| 938 |
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"<extra_id_92>",
|
| 939 |
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|
| 940 |
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|
| 941 |
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|
| 942 |
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"<extra_id_96>",
|
| 943 |
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"<extra_id_97>",
|
| 944 |
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"<extra_id_98>",
|
| 945 |
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"<extra_id_99>"
|
| 946 |
+
],
|
| 947 |
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|
| 948 |
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"eos_token": "</s>",
|
| 949 |
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"extra_ids": 100,
|
| 950 |
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"legacy": true,
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| 951 |
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|
| 952 |
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|
| 953 |
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|
| 954 |
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"tokenizer_class": "T5Tokenizer",
|
| 955 |
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"unk_token": "<unk>"
|
| 956 |
+
}
|
train_results.json
ADDED
|
@@ -0,0 +1,11 @@
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|
|
|
|
|
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|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 5.0,
|
| 3 |
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"num_input_tokens_seen": 332318598,
|
| 4 |
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"total_flos": 1.2062750373789696e+17,
|
| 5 |
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"train_loss": 0.7601320325591829,
|
| 6 |
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"train_runtime": 7988.2275,
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| 7 |
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"train_samples": 159922,
|
| 8 |
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"train_samples_per_second": 100.099,
|
| 9 |
+
"train_steps_per_second": 12.513,
|
| 10 |
+
"train_tokens_per_second": 41593.134
|
| 11 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,1681 @@
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|
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|
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training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:6782a5ce63f15c3fe5f3758e612a2db9264d743242151ecb54c0e5cd4b930c9e
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size 5496
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