Text Classification
Transformers
Safetensors
Ukrainian
xlm-roberta
emotions
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Upload XLMRobertaForSequenceClassification
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{
"_name_or_path": "./trained_intfloat_multilingual-e5-large/intfloat_multilingual-e5-large_ep55_lr1e-05_batchpergpu64_gpu1/final_model/",
"architectures": [
"XLMRobertaForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
"bos_token_id": 0,
"classifier_dropout": null,
"eos_token_id": 2,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 1024,
"id2label": {
"0": "Joy",
"1": "Fear",
"2": "Anger",
"3": "Sadness",
"4": "Disgust",
"5": "Surprise",
"6": "None"
},
"initializer_range": 0.02,
"intermediate_size": 4096,
"label2id": {
"Anger": 2,
"Disgust": 4,
"Fear": 1,
"Joy": 0,
"None": 6,
"Sadness": 3,
"Surprise": 5
},
"layer_norm_eps": 1e-05,
"max_position_embeddings": 514,
"model_type": "xlm-roberta",
"num_attention_heads": 16,
"num_hidden_layers": 24,
"output_past": true,
"pad_token_id": 1,
"position_embedding_type": "absolute",
"problem_type": "multi_label_classification",
"torch_dtype": "float16",
"transformers_version": "4.49.0",
"type_vocab_size": 1,
"use_cache": true,
"vocab_size": 250002
}