Training in progress, epoch 0
Browse files- added_tokens.json +7 -0
- config.json +75 -0
- model.safetensors +3 -0
- special_tokens_map.json +7 -0
- tokenizer.json +0 -0
- tokenizer_config.json +56 -0
- training_args.bin +3 -0
- vocab.txt +0 -0
added_tokens.json
ADDED
@@ -0,0 +1,7 @@
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{
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"[CLS]": 101,
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"[MASK]": 103,
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"[PAD]": 0,
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"[SEP]": 102,
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"[UNK]": 100
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}
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config.json
ADDED
@@ -0,0 +1,75 @@
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{
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"_name_or_path": "google/mobilebert-uncased",
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"architectures": [
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"MobileBertForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"classifier_activation": false,
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"classifier_dropout": null,
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"embedding_size": 128,
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"finetuning_task": "text-classification",
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"hidden_act": "relu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 512,
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"id2label": {
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"0": "History & Politics",
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"1": "Health & Medicine",
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"2": "Mystery & Thriller",
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"3": "Arts & Design",
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"4": "Self-Help & Wellness",
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"5": "Sports & Recreation",
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"6": "Non-Fiction",
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"7": "Science Fiction & Fantasy",
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"8": "Countries & Geography",
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"9": "Other",
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"10": "Nature & Environment",
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"11": "Business & Finance",
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"12": "Romance",
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"13": "Philosophy & Religion",
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"14": "Literature & Fiction",
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"15": "Science & Technology",
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"16": "Children & Young Adult",
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"17": "Food & Cooking"
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},
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"initializer_range": 0.02,
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"intermediate_size": 512,
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"intra_bottleneck_size": 128,
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"key_query_shared_bottleneck": true,
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"label2id": {
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"Arts & Design": 3,
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"Business & Finance": 11,
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"Children & Young Adult": 16,
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"Countries & Geography": 8,
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"Food & Cooking": 17,
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"Health & Medicine": 1,
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"History & Politics": 0,
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"Literature & Fiction": 14,
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"Mystery & Thriller": 2,
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"Nature & Environment": 10,
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"Non-Fiction": 6,
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"Other": 9,
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"Philosophy & Religion": 13,
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"Romance": 12,
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"Science & Technology": 15,
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"Science Fiction & Fantasy": 7,
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"Self-Help & Wellness": 4,
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"Sports & Recreation": 5
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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": "mobilebert",
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"normalization_type": "no_norm",
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"num_attention_heads": 4,
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"num_feedforward_networks": 4,
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"num_hidden_layers": 24,
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"pad_token_id": 0,
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"problem_type": "multi_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.35.0.dev0",
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"trigram_input": true,
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"true_hidden_size": 128,
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"type_vocab_size": 2,
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"use_bottleneck": true,
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"use_bottleneck_attention": false,
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"vocab_size": 30522
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}
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model.safetensors
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:05b056ac48e8423f97ebc04621f81c49c51aa296e1c3268dc7f0a6dd23a47deb
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size 98502952
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special_tokens_map.json
ADDED
@@ -0,0 +1,7 @@
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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
ADDED
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See raw diff
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tokenizer_config.json
ADDED
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{
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"added_tokens_decoder": {
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"0": {
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"content": "[PAD]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"100": {
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"content": "[UNK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"101": {
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"content": "[CLS]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"102": {
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"content": "[SEP]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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},
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"103": {
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"content": "[MASK]",
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"lstrip": false,
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"normalized": false,
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"rstrip": false,
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"single_word": false,
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"special": true
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}
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},
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"additional_special_tokens": [],
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"clean_up_tokenization_spaces": true,
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"cls_token": "[CLS]",
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"do_lower_case": true,
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"mask_token": "[MASK]",
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"model_max_length": 1000000000000000019884624838656,
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"pad_token": "[PAD]",
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"sep_token": "[SEP]",
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"strip_accents": null,
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"tokenize_chinese_chars": true,
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"tokenizer_class": "MobileBertTokenizer",
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"unk_token": "[UNK]"
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}
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training_args.bin
ADDED
@@ -0,0 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:6eb1fc2ef6ebb658b24fd530cd477d024d5d96d2b62c9e03d1292d21e8d69940
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size 4155
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vocab.txt
ADDED
The diff for this file is too large to render.
See raw diff
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