model update
Browse files- README.md +28 -0
- config.json +1 -1
- pytorch_model.bin +2 -2
- tokenizer_config.json +1 -1
- training_args.bin +3 -0
- validation_accuracy.json +1 -0
README.md
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---
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widget:
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- text: "generate analogy: mammal is to whale"
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example_title: "Analogy Example 1 (semantic relation)"
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- text: "generate analogy: wedding is to marriage"
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example_title: "Analogy Example 1 (semantic relation, metaphor)"
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- text: "generate analogy: London is to U.K."
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example_title: "Analogy Example 2 (entity)"
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- text: "generate analogy: actual is to actually"
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example_title: "Analogy Example 3 (morphological)"
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---
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# relbert/flan-t5-small-analogy-permutation
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This is [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) fine-tuned on [relbert/semeval2012_relational_similarity](https://huggingface.co/datasets/relbert/semeval2012_relational_similarity)
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for analogy generation, which is to generate a word pair (eg. `bird is to crow`) given a query (eg. `mammal is to whale`)
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so that the query and the generated word pair form an analogy statement.
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### Usage
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```python
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from transformers import pipeline
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pipe = pipeline('text2text-generation', model="relbert/flan-t5-small-analogy-permutation")
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output = pipe("generate analogy: mammal is to whale")
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print(output)
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>>> [{'generated_text': 'bird is to crow'}]
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```
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config.json
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{
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"_name_or_path": "
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"architectures": [
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"T5ForConditionalGeneration"
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],
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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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pytorch_model.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:aef25145307a2b916a84a9783643d27a5e170806b383e085c89e67921fbaa07a
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size 307910149
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tokenizer_config.json
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"eos_token": "</s>",
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"extra_ids": 100,
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"model_max_length": 512,
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"name_or_path": "
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"pad_token": "<pad>",
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"sp_model_kwargs": {},
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"special_tokens_map_file": "/home/younes_huggingface_co/.cache/huggingface/hub/models--google--t5-v1_1-small/snapshots/fb7e6cba609f7bab11c614294bc04f82f613c7b1/special_tokens_map.json",
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"eos_token": "</s>",
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"extra_ids": 100,
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"model_max_length": 512,
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"name_or_path": "google/flan-t5-small",
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"pad_token": "<pad>",
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"sp_model_kwargs": {},
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"special_tokens_map_file": "/home/younes_huggingface_co/.cache/huggingface/hub/models--google--t5-v1_1-small/snapshots/fb7e6cba609f7bab11c614294bc04f82f613c7b1/special_tokens_map.json",
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:d206efc573d9d3378800b8e8bbfd06e1ec1d54da81ff915bd9d05a29f75a3f6a
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size 3643
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validation_accuracy.json
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{"accuracy": 0.5443037974683544, "dataset": "relbert/semeval2012_relational_similarity", "split": "validation"}
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