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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,134 @@ | ||
| { | ||
| "dataset_reader": { | ||
| "class_name": "conll2003_reader", | ||
| "data_path": "{DOWNLOADS_PATH}/conll2003/", | ||
| "dataset_name": "conll2003", | ||
| "provide_pos": false | ||
| }, | ||
| "dataset_iterator": { | ||
| "class_name": "data_learning_iterator" | ||
| }, | ||
| "chainer": { | ||
| "in": [ | ||
| "x" | ||
| ], | ||
| "in_y": [ | ||
| "y" | ||
| ], | ||
| "pipe": [ | ||
| { | ||
| "class_name": "torch_transformers_ner_preprocessor", | ||
| "vocab_file": "{TRANSFORMER}", | ||
| "do_lower_case": false, | ||
| "max_seq_length": 512, | ||
| "max_subword_length": 15, | ||
| "token_masking_prob": 0.0, | ||
| "in": [ | ||
| "x" | ||
| ], | ||
| "out": [ | ||
| "x_tokens", | ||
| "x_subword_tokens", | ||
| "x_subword_tok_ids", | ||
| "startofword_markers", | ||
| "attention_mask", | ||
| "tokens_offsets" | ||
| ] | ||
| }, | ||
| { | ||
| "id": "tag_vocab", | ||
| "class_name": "simple_vocab", | ||
| "unk_token": [ | ||
| "O" | ||
| ], | ||
| "pad_with_zeros": true, | ||
| "save_path": "{MODEL_PATH}/tag.dict", | ||
| "load_path": "{MODEL_PATH}/tag.dict", | ||
| "fit_on": [ | ||
| "y" | ||
| ], | ||
| "in": [ | ||
| "y" | ||
| ], | ||
| "out": [ | ||
| "y_ind" | ||
| ] | ||
| }, | ||
| { | ||
| "class_name": "torch_transformers_sequence_tagger", | ||
| "n_tags": "#tag_vocab.len", | ||
| "pretrained_bert": "{TRANSFORMER}", | ||
| "attention_probs_keep_prob": 0.5, | ||
| "use_crf": true, | ||
| "encoder_layer_ids": [ | ||
| -1 | ||
| ], | ||
| "save_path": "{MODEL_PATH}/model", | ||
| "load_path": "{MODEL_PATH}/model", | ||
| "in": [ | ||
| "x_subword_tok_ids", | ||
| "attention_mask", | ||
| "startofword_markers" | ||
| ], | ||
| "in_y": [ | ||
| "y_ind" | ||
| ], | ||
| "out": [ | ||
| "y_pred_ind", | ||
| "probas" | ||
| ] | ||
| }, | ||
| { | ||
| "ref": "tag_vocab", | ||
| "in": [ | ||
| "y_pred_ind" | ||
| ], | ||
| "out": [ | ||
| "y_pred" | ||
| ] | ||
| } | ||
| ], | ||
| "out": [ | ||
| "x_tokens", | ||
| "y_pred" | ||
| ] | ||
| }, | ||
| "train": { | ||
| "metrics": [ | ||
| { | ||
| "name": "ner_f1", | ||
| "inputs": [ | ||
| "y", | ||
| "y_pred" | ||
| ] | ||
| }, | ||
| { | ||
| "name": "ner_token_f1", | ||
| "inputs": [ | ||
| "y", | ||
| "y_pred" | ||
| ] | ||
| } | ||
| ], | ||
| "evaluation_targets": [ | ||
| "valid", | ||
| "test" | ||
| ], | ||
| "class_name": "torch_trainer" | ||
| }, | ||
| "metadata": { | ||
| "variables": { | ||
| "ROOT_PATH": "~/.deeppavlov", | ||
| "DOWNLOADS_PATH": "{ROOT_PATH}/downloads", | ||
| "MODELS_PATH": "{ROOT_PATH}/models", | ||
| "TRANSFORMER": "microsoft/deberta-v3-base", | ||
| "MODEL_PATH": "{MODELS_PATH}/ner_conll2003_deberta_crf" | ||
| }, | ||
| "download": [ | ||
| { | ||
| "url": "http://files.deeppavlov.ai/v1/ner/ner_conll2003_deberta_crf.tar.gz", | ||
| "subdir": "{MODEL_PATH}" | ||
| } | ||
| ] | ||
| } | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,86 @@ | ||
| { | ||
| "dataset_reader": { | ||
| "class_name": "conll2003_reader", | ||
| "data_path": "{DOWNLOADS_PATH}/ontonotes/", | ||
| "dataset_name": "ontonotes", | ||
| "provide_pos": false | ||
| }, | ||
| "dataset_iterator": { | ||
| "class_name": "data_learning_iterator" | ||
| }, | ||
| "chainer": { | ||
| "in": ["x"], | ||
| "in_y": ["y"], | ||
| "pipe": [ | ||
| { | ||
| "class_name": "torch_transformers_ner_preprocessor", | ||
| "vocab_file": "{TRANSFORMER}", | ||
| "do_lower_case": false, | ||
| "max_seq_length": 512, | ||
| "max_subword_length": 15, | ||
| "token_masking_prob": 0.0, | ||
| "in": ["x"], | ||
| "out": ["x_tokens", "x_subword_tokens", "x_subword_tok_ids", "startofword_markers", "attention_mask", "tokens_offsets"] | ||
| }, | ||
| { | ||
| "id": "tag_vocab", | ||
| "class_name": "simple_vocab", | ||
| "unk_token": ["O"], | ||
| "pad_with_zeros": true, | ||
| "save_path": "{MODEL_PATH}/tag.dict", | ||
| "load_path": "{MODEL_PATH}/tag.dict", | ||
| "fit_on": ["y"], | ||
| "in": ["y"], | ||
| "out": ["y_ind"] | ||
| }, | ||
| { | ||
| "class_name": "torch_transformers_sequence_tagger", | ||
| "n_tags": "#tag_vocab.len", | ||
| "pretrained_bert": "{TRANSFORMER}", | ||
| "attention_probs_keep_prob": 0.5, | ||
| "use_crf": true, | ||
| "encoder_layer_ids": [-1], | ||
| "save_path": "{MODEL_PATH}/model", | ||
| "load_path": "{MODEL_PATH}/model", | ||
| "in": ["x_subword_tok_ids", "attention_mask", "startofword_markers"], | ||
| "in_y": ["y_ind"], | ||
| "out": ["y_pred_ind", "probas"] | ||
| }, | ||
| { | ||
| "ref": "tag_vocab", | ||
| "in": ["y_pred_ind"], | ||
| "out": ["y_pred"] | ||
| } | ||
| ], | ||
| "out": ["x_tokens", "y_pred"] | ||
| }, | ||
| "train": { | ||
| "metrics": [ | ||
| { | ||
| "name": "ner_f1", | ||
| "inputs": ["y", "y_pred"] | ||
| }, | ||
| { | ||
| "name": "ner_token_f1", | ||
| "inputs": ["y", "y_pred"] | ||
| } | ||
| ], | ||
| "evaluation_targets": ["valid", "test"], | ||
| "class_name": "torch_trainer" | ||
| }, | ||
| "metadata": { | ||
| "variables": { | ||
| "ROOT_PATH": "~/.deeppavlov", | ||
| "DOWNLOADS_PATH": "{ROOT_PATH}/downloads", | ||
| "MODELS_PATH": "{ROOT_PATH}/models", | ||
| "TRANSFORMER": "microsoft/deberta-v3-base", | ||
| "MODEL_PATH": "{MODELS_PATH}/ner_ontonotes_deberta_crf" | ||
| }, | ||
| "download": [ | ||
| { | ||
| "url": "http://files.deeppavlov.ai/v1/ner/ner_ontonotes_deberta_crf.tar.gz", | ||
| "subdir": "{MODEL_PATH}" | ||
| } | ||
| ] | ||
| } | ||
| } |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1 @@ | ||
| protobuf<=3.20 |
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| @@ -0,0 +1 @@ | ||
| sentencepiece==0.2.0 |
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