Add German sentiment BERT finetuned on news data
Browse filesBased on https://huggingface.co/oliverguhr/german-sentiment-bert, with
additional training on news data.
See https://github.com/text-analytics-20/news-sentiment-development for
more information.
- README.md +7 -0
- config.json +36 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +1 -0
- tokenizer_config.json +1 -0
- vocab.txt +0 -0
README.md
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# German sentiment BERT finetuned on news data
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Based on https://huggingface.co/oliverguhr/german-sentiment-bert, with
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additional training on news data.
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See https://github.com/text-analytics-20/news-sentiment-development for
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more information.
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config.json
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{
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"_name_or_path": "data/finetuned-sentibert-checkpoint-225",
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"_num_labels": 3,
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"architectures": [
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"BertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"finetuning_task": "germansentiment",
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"gradient_checkpointing": false,
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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": "positive",
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"1": "negative",
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"2": "neutral"
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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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"negative": 1,
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"neutral": 2,
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"positive": 0
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},
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"layer_norm_eps": 1e-12,
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"max_position_embeddings": 512,
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"model_type": "bert",
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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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"position_embedding_type": "absolute",
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"transformers_version": "4.3.2",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 30000
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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 sha256:5dcb1355a32df4e946eccbc1f6912558207110f4e87da7fa608287aae62d32d9
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size 436421129
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special_tokens_map.json
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{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
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tokenizer_config.json
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{"do_lower_case": false, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "model_max_length": 512, "special_tokens_map_file": "/home/m4/.cache/huggingface/transformers/0be9cd8f70c135cbe0f6bf35cd771a593a4d6d3ab7c5835f5bc887dc0d4e1a22.dd8bd9bfd3664b530ea4e645105f557769387b3da9f79bdb55ed556bdd80611d", "name_or_path": "oliverguhr/german-sentiment-bert", "do_basic_tokenize": true, "never_split": null}
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vocab.txt
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