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Browse files- README.md +11 -1
- config.json +53 -0
- pytorch_model.bin +3 -0
README.md
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## Eval results
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-
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### BibTeX entry and citation info
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## Eval results
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accuracy: 0.9473110465116279
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f1: 0.8946476144344877
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loss: 0.2516360282897949
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precision: 0.8824653607262303
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recall: 0.9071709233791748
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### BibTeX entry and citation info
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config.json
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{
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"_name_or_path": "albertvillanova/autonlp-wikiann-entity_extraction-b151299-102879",
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"_num_labels": 7,
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"architectures": [
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"AlbertForTokenClassification"
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],
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"attention_probs_dropout_prob": 0,
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"bos_token_id": 2,
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"classifier_dropout_prob": 0.1,
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"down_scale_factor": 1,
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"embedding_size": 128,
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"eos_token_id": 3,
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"gap_size": 0,
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"hidden_act": "gelu_new",
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"hidden_dropout_prob": 0,
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"hidden_size": 1024,
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"id2label": {
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"0": "0",
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"1": "1",
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"2": "2",
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"3": "3",
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"4": "4",
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"5": "5",
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"6": "6"
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},
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"initializer_range": 0.02,
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"inner_group_num": 1,
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"intermediate_size": 4096,
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"label2id": {
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"0": 0,
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"1": 1,
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"2": 2,
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"3": 3,
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"4": 4,
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"5": 5,
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"6": 6
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},
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"layer_norm_eps": 1e-12,
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"max_length": 96,
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"max_position_embeddings": 512,
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"model_type": "albert",
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"net_structure_type": 0,
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"num_attention_heads": 16,
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"num_hidden_groups": 1,
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"num_hidden_layers": 24,
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"num_memory_blocks": 0,
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"pad_token_id": 0,
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"padding": "max_length",
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"position_embedding_type": "absolute",
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"transformers_version": "4.6.1",
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"type_vocab_size": 2,
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"vocab_size": 32000
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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 sha256:9d07ee98573d390a881a4cd60f43a735c99b5a7de4526094398c02d07d4e17d5
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size 67605209
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