tomhosking commited on
Commit
2d83b27
1 Parent(s): 4081c3c

Add tuned model

Browse files
README.md CHANGED
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  ---
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  license: apache-2.0
 
 
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  ---
 
 
 
 
 
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  ---
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  license: apache-2.0
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+ widget:
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+ - text: "[CLS] Rover is a dog. [SEP] Rover is a cat. [SEP]"
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  ---
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+
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+ `deberta-v3-base`, fine tuned on the debiased NLI dataset from "Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets", Wu et al., 2022.
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+
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+ Tuned using the code at https://github.com/jimmycode/gen-debiased-nli
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+ {"[MASK]": 128000}
config.json ADDED
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+ {
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+ "_name_or_path": "microsoft/deberta-v3-base",
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+ "architectures": [
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+ "DebertaV2ForSequenceClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "finetuning_task": "snli",
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 768,
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+ "id2label": {
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+ "0": "ENTAILMENT",
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+ "1": "NEUTRAL",
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+ "2": "CONTRADICTION"
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+ },
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "label2id": {
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+ "CONTRADICTION": 2,
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+ "ENTAILMENT": 0,
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+ "NEUTRAL": 1
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+ },
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+ "layer_norm_eps": 1e-07,
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+ "max_position_embeddings": 512,
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+ "max_relative_positions": -1,
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+ "model_type": "deberta-v2",
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+ "norm_rel_ebd": "layer_norm",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "pad_token_id": 0,
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+ "pooler_dropout": 0,
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+ "pooler_hidden_act": "gelu",
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+ "pooler_hidden_size": 768,
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+ "pos_att_type": [
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+ "p2c",
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+ "c2p"
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+ ],
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+ "position_biased_input": false,
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+ "position_buckets": 256,
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+ "relative_attention": true,
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+ "share_att_key": true,
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+ "transformers_version": "4.8.2",
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+ "type_vocab_size": 0,
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+ "vocab_size": 128100
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+ }
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special_tokens_map.json ADDED
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+ {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
spm.model ADDED
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tokenizer_config.json ADDED
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+ {"do_lower_case": false, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "split_by_punct": false, "sp_model_kwargs": {}, "vocab_type": "spm", "special_tokens_map_file": null, "tokenizer_file": null, "name_or_path": "microsoft/deberta-v3-base", "tokenizer_class": "DebertaV2Tokenizer"}