Training in progress step 204
Browse files- added_tokens.json +21 -0
- config.json +39 -0
- merges.txt +0 -0
- pytorch_model.bin +3 -0
- special_tokens_map.json +15 -0
- tokenizer.json +0 -0
- tokenizer_config.json +16 -0
- vocab.json +0 -0
added_tokens.json
ADDED
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{
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"☀": 50276,
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"✨": 50271,
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"🇺🇸": 50275,
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"🎄": 50281,
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"💕": 50267,
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"💙": 50272,
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"💜": 50277,
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"💯": 50279,
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"📷": 50274,
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"📸": 50282,
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"🔥": 50268,
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"😁": 50280,
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"😂": 50266,
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"😉": 50278,
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"😊": 50269,
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"😍": 50265,
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"😎": 50270,
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"😘": 50273,
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"😜": 50283
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}
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config.json
ADDED
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{
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"architectures": [
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"RobertaForSequenceClassification"
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],
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"attention_probs_dropout_prob": 0.1,
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"bos_token_id": 0,
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"classifier_dropout": null,
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"eos_token_id": 2,
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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": "anger",
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"1": "joy",
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"2": "optimism",
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"3": "sadness"
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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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"anger": 0,
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"joy": 1,
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"optimism": 2,
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"sadness": 3
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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": "roberta",
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"num_attention_heads": 12,
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"num_hidden_layers": 12,
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"pad_token_id": 1,
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"position_embedding_type": "absolute",
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"problem_type": "multi_label_classification",
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"torch_dtype": "float32",
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"transformers_version": "4.20.1",
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"type_vocab_size": 2,
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"use_cache": true,
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"vocab_size": 50284
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}
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merges.txt
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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:a34a857e2c85a2157ac0248d33255612f1a28ed53093ed0f247795b2f7e98227
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size 498721709
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special_tokens_map.json
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{
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"bos_token": "<s>",
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"cls_token": "<s>",
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"eos_token": "</s>",
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"mask_token": {
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"content": "<mask>",
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"lstrip": true,
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"normalized": false,
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"rstrip": false,
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"single_word": false
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},
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"pad_token": "<pad>",
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"sep_token": "</s>",
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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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"add_prefix_space": false,
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"bos_token": "<s>",
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"cls_token": "<s>",
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"eos_token": "</s>",
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"errors": "replace",
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"mask_token": "<mask>",
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"model_max_length": 512,
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"name_or_path": "roberta-base",
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"pad_token": "<pad>",
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"sep_token": "</s>",
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"special_tokens_map_file": null,
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"tokenizer_class": "RobertaTokenizer",
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"trim_offsets": true,
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"unk_token": "<unk>"
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}
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vocab.json
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