Adding CAMeLBERT DA sentiment analysis model
Browse files- config.json +35 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +1 -0
- tf_model.h5 +3 -0
- tokenizer_config.json +1 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
config.json
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{
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"_name_or_path": "bert-base-arabic-camelbert-da-sentiment/",
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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": "arabic_sentiment",
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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": "4.3.3",
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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:e873919e8a1e90663870a791d7eda9dabc572b03605cf671d9478f60e0230c0c
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size 436389169
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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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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:44f42e386a8aefa18a6de8d58e48bdbd1e31b039acaef364d762df4f0b049f31
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size 436622684
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tokenizer_config.json
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{"do_lower_case": false, "special_tokens_map_file": null, "full_tokenizer_file": null}
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training_args.bin
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version https://git-lfs.github.com/spec/v1
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oid sha256:e36accf692a15322bac374fdbb532bc2f0bc62d05e975cc870f4530e1c9967d0
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size 1346
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vocab.txt
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