khuangaf
commited on
Commit
·
b6562c0
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Parent(s):
901e04b
upload everything
Browse files- .gitattributes +2 -0
- README.md +69 -0
- config.json +59 -0
- optimizer.pt +3 -0
- pytorch_model.bin +3 -0
- rng_state_0.pth +3 -0
- scaler.pt +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +1 -0
- spiece.model +3 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -0
- trainer_state.json +253 -0
- training_args.bin +3 -0
.gitattributes
CHANGED
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@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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optimizer.pt filter=lfs diff=lfs merge=lfs -text
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pytorch_model.bin filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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language: en
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widget:
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- text: What is Night of the Living Dead? \n Night of the Living Dead is a 1968 American independent horror film , directed by George A. Romero , starring Duane Jones and Judith O'Dea . George A. Romero George A. Romero Duane Jones Duane Jones Judith O'Dea Judith O'Dea independent Independent film horror film horror film.
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---
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# Domain-adapted QA Model From ZeroFEC
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ZeroFEC is a faithful and interpetable factual error correction framework introduced in the paper [Zero-shot Faithful Factual Error Correction](https://aclanthology.org/2023.acl-long.311/). It involves a QA component, which is a UnifiedQA model continue fine-tuned on two additional biomedical QA datasets. The associated code is released in [this](https://github.com/khuangaf/ZeroFEC) repository.
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### How to use
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Using Huggingface pipeline abstraction:
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```python
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from transformers import pipeline
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nlp = pipeline("text2text-generation", model='khhuang/zerofec-daqa-t5-base', tokenizer='khhuang/zerofec-daqa-t5-base')
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QUESTION = "What is Night of the Living Dead?"
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CONTEXT = "Night of the Living Dead is a 1968 American independent horror film , directed by George A. Romero , starring Duane Jones and Judith O'Dea . George A. Romero George A. Romero Duane Jones Duane Jones Judith O'Dea Judith O'Dea independent Independent film horror film horror film."
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def format_inputs(context: str, question: str):
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return f"{question} \n {context}"
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text = format_inputs(CONTEXT, QUESTION)
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nlp(text)
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# should output [{'generated_text': 'a 1968 american independent horror film'}]
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```
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Using the pre-trained model directly:
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```python
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from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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tokenizer = AutoTokenizer.from_pretrained('khhuang/zerofec-daqa-t5-base')
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model = AutoModelForSeq2SeqLM.from_pretrained('khhuang/zerofec-daqa-t5-base')
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QUESTION = "What is Night of the Living Dead?"
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CONTEXT = "Night of the Living Dead is a 1968 American independent horror film , directed by George A. Romero , starring Duane Jones and Judith O'Dea . George A. Romero George A. Romero Duane Jones Duane Jones Judith O'Dea Judith O'Dea independent Independent film horror film horror film."
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def format_inputs(context: str, question: str):
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return f"{question} \n {context}"
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text = format_inputs(CONTEXT, QUESTION)
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input_ids = tokenizer(text, return_tensors="pt").input_ids
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generated_ids = model.generate(input_ids, max_length=32, num_beams=4)
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output = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)
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print(output)
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# should output "a 1968 american independent horror film"
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```
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### Citation
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```
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@inproceedings{huang-etal-2023-zero,
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title = "Zero-shot Faithful Factual Error Correction",
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author = "Huang, Kung-Hsiang and
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Chan, Hou Pong and
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Ji, Heng",
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booktitle = "Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
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month = jul,
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year = "2023",
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address = "Toronto, Canada",
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publisher = "Association for Computational Linguistics",
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url = "https://aclanthology.org/2023.acl-long.311",
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doi = "10.18653/v1/2023.acl-long.311",
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pages = "5660--5676",
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}
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```
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config.json
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{
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"_name_or_path": "allenai/unifiedqa-v2-t5-base-1251000",
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"architectures": [
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"T5ForConditionalGeneration"
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],
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"d_ff": 3072,
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"d_kv": 64,
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"d_model": 768,
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"decoder_start_token_id": 0,
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"dropout_rate": 0.1,
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"eos_token_id": 1,
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"feed_forward_proj": "relu",
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"gradient_checkpointing": false,
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"initializer_factor": 1.0,
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"is_encoder_decoder": 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": 12,
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"num_heads": 12,
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"num_layers": 12,
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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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"torch_dtype": "float32",
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"transformers_version": "4.19.2",
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"use_cache": true,
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"vocab_size": 32128
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}
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optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:da2cd3167734405f65ae2f756238da68b925b3f3d5aab21ea6b1c2781ef9070c
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size 1783379133
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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:2fd9a05c6323a6ddb5ad922529d506b6e86591d73d0aafe711abe59e3178040f
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size 891700799
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rng_state_0.pth
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version https://git-lfs.github.com/spec/v1
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oid sha256:673b71f54c0c70f4e0bd565013e8a7f3456fc29723c29c988dac718275580bbc
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size 14503
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scaler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:ca2359fd6bb85576e36c95dd2d4356c709ca53c6847e7aab7798843fd12175a2
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size 559
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scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:a836542adc98c03c89bf40db3637ba926035990d136f6780cd5043d550fe9a5d
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size 623
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special_tokens_map.json
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{"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>", "additional_special_tokens": ["<extra_id_0>", "<extra_id_1>", "<extra_id_2>", "<extra_id_3>", "<extra_id_4>", "<extra_id_5>", "<extra_id_6>", "<extra_id_7>", "<extra_id_8>", "<extra_id_9>", "<extra_id_10>", "<extra_id_11>", "<extra_id_12>", "<extra_id_13>", "<extra_id_14>", "<extra_id_15>", "<extra_id_16>", "<extra_id_17>", "<extra_id_18>", "<extra_id_19>", "<extra_id_20>", "<extra_id_21>", "<extra_id_22>", "<extra_id_23>", "<extra_id_24>", "<extra_id_25>", "<extra_id_26>", "<extra_id_27>", "<extra_id_28>", "<extra_id_29>", "<extra_id_30>", "<extra_id_31>", "<extra_id_32>", "<extra_id_33>", "<extra_id_34>", "<extra_id_35>", "<extra_id_36>", "<extra_id_37>", "<extra_id_38>", "<extra_id_39>", "<extra_id_40>", "<extra_id_41>", "<extra_id_42>", "<extra_id_43>", "<extra_id_44>", "<extra_id_45>", "<extra_id_46>", "<extra_id_47>", "<extra_id_48>", "<extra_id_49>", "<extra_id_50>", "<extra_id_51>", "<extra_id_52>", "<extra_id_53>", "<extra_id_54>", "<extra_id_55>", "<extra_id_56>", "<extra_id_57>", "<extra_id_58>", "<extra_id_59>", "<extra_id_60>", "<extra_id_61>", "<extra_id_62>", "<extra_id_63>", "<extra_id_64>", "<extra_id_65>", "<extra_id_66>", "<extra_id_67>", "<extra_id_68>", "<extra_id_69>", "<extra_id_70>", "<extra_id_71>", "<extra_id_72>", "<extra_id_73>", "<extra_id_74>", "<extra_id_75>", "<extra_id_76>", "<extra_id_77>", "<extra_id_78>", "<extra_id_79>", "<extra_id_80>", "<extra_id_81>", "<extra_id_82>", "<extra_id_83>", "<extra_id_84>", "<extra_id_85>", "<extra_id_86>", "<extra_id_87>", "<extra_id_88>", "<extra_id_89>", "<extra_id_90>", "<extra_id_91>", "<extra_id_92>", "<extra_id_93>", "<extra_id_94>", "<extra_id_95>", "<extra_id_96>", "<extra_id_97>", "<extra_id_98>", "<extra_id_99>"]}
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spiece.model
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version https://git-lfs.github.com/spec/v1
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oid sha256:d60acb128cf7b7f2536e8f38a5b18a05535c9e14c7a355904270e15b0945ea86
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size 791656
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tokenizer.json
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The diff for this file is too large to render.
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tokenizer_config.json
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{"eos_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>", "extra_ids": 100, "additional_special_tokens": ["<extra_id_0>", "<extra_id_1>", "<extra_id_2>", "<extra_id_3>", "<extra_id_4>", "<extra_id_5>", "<extra_id_6>", "<extra_id_7>", "<extra_id_8>", "<extra_id_9>", "<extra_id_10>", "<extra_id_11>", "<extra_id_12>", "<extra_id_13>", "<extra_id_14>", "<extra_id_15>", "<extra_id_16>", "<extra_id_17>", "<extra_id_18>", "<extra_id_19>", "<extra_id_20>", "<extra_id_21>", "<extra_id_22>", "<extra_id_23>", "<extra_id_24>", "<extra_id_25>", "<extra_id_26>", "<extra_id_27>", "<extra_id_28>", "<extra_id_29>", "<extra_id_30>", "<extra_id_31>", "<extra_id_32>", "<extra_id_33>", "<extra_id_34>", "<extra_id_35>", "<extra_id_36>", "<extra_id_37>", "<extra_id_38>", "<extra_id_39>", "<extra_id_40>", "<extra_id_41>", "<extra_id_42>", "<extra_id_43>", "<extra_id_44>", "<extra_id_45>", "<extra_id_46>", "<extra_id_47>", "<extra_id_48>", "<extra_id_49>", "<extra_id_50>", "<extra_id_51>", "<extra_id_52>", "<extra_id_53>", "<extra_id_54>", "<extra_id_55>", "<extra_id_56>", "<extra_id_57>", "<extra_id_58>", "<extra_id_59>", "<extra_id_60>", "<extra_id_61>", "<extra_id_62>", "<extra_id_63>", "<extra_id_64>", "<extra_id_65>", "<extra_id_66>", "<extra_id_67>", "<extra_id_68>", "<extra_id_69>", "<extra_id_70>", "<extra_id_71>", "<extra_id_72>", "<extra_id_73>", "<extra_id_74>", "<extra_id_75>", "<extra_id_76>", "<extra_id_77>", "<extra_id_78>", "<extra_id_79>", "<extra_id_80>", "<extra_id_81>", "<extra_id_82>", "<extra_id_83>", "<extra_id_84>", "<extra_id_85>", "<extra_id_86>", "<extra_id_87>", "<extra_id_88>", "<extra_id_89>", "<extra_id_90>", "<extra_id_91>", "<extra_id_92>", "<extra_id_93>", "<extra_id_94>", "<extra_id_95>", "<extra_id_96>", "<extra_id_97>", "<extra_id_98>", "<extra_id_99>"], "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "t5-base", "tokenizer_class": "T5Tokenizer"}
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trainer_state.json
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@@ -0,0 +1,3 @@
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