File size: 1,309 Bytes
afb543f
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
{
  "_num_labels": 11,
  "add_cross_attention": false,
  "architectures": [
    "XLMRobertaForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 0,
  "classifier_dropout": null,
  "dtype": "float32",
  "eos_token_id": 2,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "Ambiguous",
    "1": "Anger",
    "2": "Anticipation",
    "3": "Disguist",
    "4": "Fear",
    "5": "Joy",
    "6": "Love",
    "7": "Neutral",
    "8": "Sadness",
    "9": "Surprise",
    "10": "Trust"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "is_decoder": false,
  "label2id": {
    "Ambiguous": 0,
    "Anger": 1,
    "Anticipation": 2,
    "Disguist": 3,
    "Fear": 4,
    "Joy": 5,
    "Love": 6,
    "Neutral": 7,
    "Sadness": 8,
    "Surprise": 9,
    "Trust": 10
  },
  "layer_norm_eps": 1e-05,
  "max_position_embeddings": 514,
  "model_type": "xlm-roberta",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "output_past": true,
  "pad_token_id": 1,
  "padding": "max_length",
  "position_embedding_type": "absolute",
  "problem_type": "single_label_classification",
  "tie_word_embeddings": true,
  "transformers_version": "5.1.0",
  "type_vocab_size": 1,
  "use_cache": false,
  "vocab_size": 250002
}