model update
Browse files- README.md +26 -0
- config.json +1 -1
- merges.txt +1 -1
- pytorch_model.bin +2 -2
- tokenizer_config.json +1 -1
- training_args.bin +3 -0
- validation_accuracy.json +1 -0
- vocab.json +0 -0
README.md
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---
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widget:
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- text: "mammal is to whale what"
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example_title: "Analogy Example 1 (semantic relation)"
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- text: "wedding is to marriage what "
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example_title: "Analogy Example 2 (semantic relation, metaphor)"
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- text: "London is to U.K. what"
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example_title: "Analogy Example 3 (entity)"
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- text: "actual is to actually what"
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example_title: "Analogy Example 4 (morphological)"
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---
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# relbert/opt-350m-analogy-permutation
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This is [facebook/opt-350m](https://huggingface.co/facebook/opt-350m) 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('text-generation', model="relbert/opt-350m-analogy-permutation")
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output = pipe("mammal is to whale what")
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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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"_remove_final_layer_norm": false,
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"activation_dropout": 0.0,
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"activation_function": "relu",
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{
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"_name_or_path": "facebook/opt-350m",
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"_remove_final_layer_norm": false,
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"activation_dropout": 0.0,
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"activation_function": "relu",
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merges.txt
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#version: 0.2
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#version: 0.2
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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 sha256:82849d31fc72ef924921b590e63633dede3f27d7bbf502c921e4b444d8274a41
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size 1324919965
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tokenizer_config.json
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},
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"errors": "replace",
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"model_max_length": 1000000000000000019884624838656,
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"name_or_path": "
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"pad_token": {
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"__type": "AddedToken",
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"content": "<pad>",
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},
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"errors": "replace",
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"model_max_length": 1000000000000000019884624838656,
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"name_or_path": "facebook/opt-350m",
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"pad_token": {
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"__type": "AddedToken",
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"content": "<pad>",
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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:c732a6f3812c3809616ce82c0f0e411c87f8bd89d545e3c44117332fcf200559
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size 3515
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validation_accuracy.json
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{"accuracy": 1, "dataset": "relbert/semeval2012_relational_similarity", "split": "validation"}
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vocab.json
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