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Amirhossein75
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multi-label-emotion-classification-reddit-comments-roberta

Text Classification
Transformers
Safetensors
PyTorch
PEFT
English
roberta
multi-label
emotion-detection
reddit
go_emotions
huggingface
accelerate
Eval Results
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xet
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Amirhossein75 commited on
Commit
ee0cde6
·
1 Parent(s): d64e6b1

add initial weights

Browse files
Files changed (10) hide show
  1. config.json +87 -0
  2. label_names.json +30 -0
  3. merges.txt +0 -0
  4. model.safetensors +3 -0
  5. special_tokens_map.json +15 -0
  6. threshold.json +3 -0
  7. tokenizer.json +0 -0
  8. tokenizer_config.json +58 -0
  9. training_args.bin +3 -0
  10. vocab.json +0 -0
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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+ "dtype": "float32",
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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": "LABEL_0",
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+ "1": "LABEL_1",
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+ "2": "LABEL_2",
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+ "3": "LABEL_3",
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+ "4": "LABEL_4",
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+ "5": "LABEL_5",
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+ "6": "LABEL_6",
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+ "11": "LABEL_11",
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+ "12": "LABEL_12",
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+ "13": "LABEL_13",
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+ "14": "LABEL_14",
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+ "15": "LABEL_15",
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+ "16": "LABEL_16",
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+ "17": "LABEL_17",
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+ "18": "LABEL_18",
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+ "19": "LABEL_19",
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+ "20": "LABEL_20",
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+ "21": "LABEL_21",
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+ "22": "LABEL_22",
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+ "23": "LABEL_23",
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+ "24": "LABEL_24",
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+ "25": "LABEL_25",
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+ "26": "LABEL_26",
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+ "27": "LABEL_27"
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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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+ "LABEL_0": 0,
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+ "LABEL_1": 1,
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+ "LABEL_27": 27,
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+ "LABEL_7": 7,
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+ "LABEL_8": 8,
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+ "LABEL_9": 9
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+ },
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+ "layer_norm_eps": 1e-05,
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+ "max_position_embeddings": 514,
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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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+ "transformers_version": "4.56.1",
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+ "type_vocab_size": 1,
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+ "use_cache": true,
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+ "vocab_size": 50265
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+ }
label_names.json ADDED
@@ -0,0 +1,30 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ [
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+ "admiration",
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+ "amusement",
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+ "anger",
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+ "annoyance",
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+ "approval",
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+ "caring",
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+ "confusion",
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+ "curiosity",
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+ "desire",
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+ "disappointment",
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+ "disapproval",
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+ "disgust",
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+ "embarrassment",
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+ "excitement",
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+ "fear",
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+ "gratitude",
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+ "grief",
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+ "joy",
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+ "love",
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+ "nervousness",
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+ "optimism",
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+ "pride",
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+ "realization",
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+ "relief",
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+ "remorse",
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+ "sadness",
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+ "surprise",
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+ "neutral"
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+ ]
merges.txt ADDED
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model.safetensors ADDED
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special_tokens_map.json ADDED
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threshold.json ADDED
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+ {
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+ "threshold": 0.8600000000000002
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+ }
tokenizer.json ADDED
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tokenizer_config.json ADDED
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+ {
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+ "added_tokens_decoder": {
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+ "special": true
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+ "1": {
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+ "special": true
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+ "50264": {
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+ "content": "<mask>",
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+ "single_word": false,
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+ "bos_token": "<s>",
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+ "clean_up_tokenization_spaces": false,
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+ "eos_token": "</s>",
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+ "errors": "replace",
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+ "extra_special_tokens": {},
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+ "model_max_length": 512,
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+ "pad_token": "<pad>",
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+ "sep_token": "</s>",
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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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+ }
training_args.bin ADDED
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vocab.json ADDED
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