MIND trained for 2 epochs on balanced data without user_embedding initialization
Browse files- config.json +1 -1
- pytorch_model.bin +1 -1
config.json
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@@ -29,7 +29,7 @@
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.
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"type_vocab_size": 2,
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"vocab_size": 30000
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}
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"position_embedding_type": "absolute",
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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.29.2",
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"type_vocab_size": 2,
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"vocab_size": 30000
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}
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pytorch_model.bin
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@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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-
oid sha256:
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size 79850665
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:2ceb8c3802b11a52762fbbee61a7219823d4f128ae980521607577499b48b0a1
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size 79850665
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