Commit
•
2aace5f
1
Parent(s):
a1c5ea7
Update model files
Browse files- config.json +55 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +18 -0
- vocab.txt +0 -0
config.json
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{
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"_name_or_path": "l3cube-pune/marathi-topic-short",
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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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"classifier_dropout": null,
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"embedding_size": 768,
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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": "Auto",
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"1": "Bhakti",
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"2": "Crime",
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"3": "Education",
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"4": "Fashion",
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"5": "Health",
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"6": "International",
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"7": "Manoranjan",
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"8": "Politics",
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"9": "Sports",
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"10": "Tech",
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"11": "Travel"
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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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"Auto": 0,
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"Bhakti": 1,
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"Crime": 2,
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"Education": 3,
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"Fashion": 4,
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"Health": 5,
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"International": 6,
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"Manoranjan": 7,
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"Politics": 8,
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"Sports": 9,
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"Tech": 10,
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"Travel": 11
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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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"problem_type": "single_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.22.0",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 197285
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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 sha256:112e031ef0d436358c1d8902f789486f0f2a775d0be6c110fa070c32f3935a40
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size 950331765
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special_tokens_map.json
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{
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"cls_token": "[CLS]",
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"mask_token": "[MASK]",
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"unk_token": "[UNK]"
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}
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tokenizer.json
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tokenizer_config.json
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{
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"clean_up_tokenization_spaces": true,
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"cls_token": "[CLS]",
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"do_basic_tokenize": true,
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"do_lower_case": false,
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"lowercase": false,
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"mask_token": "[MASK]",
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"model_max_length": 512,
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"name_or_path": "l3cube-pune/marathi-topic-short",
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"never_split": null,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"special_tokens_map_file": "l3cube-pune/marathi-topic-short/special_tokens_map.json",
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"strip_accents": false,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "BertTokenizer",
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"unk_token": "[UNK]"
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}
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vocab.txt
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The diff for this file is too large to render.
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