Hugging Face's logo

HiTZ
/
deberta-large-metaphor-detection-en

Token Classification
Transformers
PyTorch
English
deberta-v2
Inference Endpoints
Model card Files Community
1
deberta-large-metaphor-detection-en
File size: 2,650 Bytes 
b3486c6
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
 
{
  "best_metric": 0.7603706972639012,
  "best_model_checkpoint": "./outputs/deberta-large-output/vua_metaphor_8_0.01_0.00002_03-21-23_22-02/checkpoint-3612",
  "epoch": 3.999584889995849,
  "global_step": 4816,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "learning_rate": 1.595758780649437e-05,
      "loss": 0.1306,
      "step": 1204
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.9674111647440617,
      "eval_f1": 0.7417333045169656,
      "eval_loss": 0.08462577313184738,
      "eval_precision": 0.7609756097560976,
      "eval_recall": 0.7234401349072512,
      "eval_runtime": 13.8793,
      "eval_samples_per_second": 173.64,
      "eval_steps_per_second": 21.759,
      "step": 1204
    },
    {
      "epoch": 2.0,
      "learning_rate": 1.0638391870996245e-05,
      "loss": 0.0527,
      "step": 2408
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.9700564509531212,
      "eval_f1": 0.7538116591928251,
      "eval_loss": 0.08208993822336197,
      "eval_precision": 0.8050766283524904,
      "eval_recall": 0.7086846543001686,
      "eval_runtime": 13.6308,
      "eval_samples_per_second": 176.806,
      "eval_steps_per_second": 22.156,
      "step": 2408
    },
    {
      "epoch": 3.0,
      "learning_rate": 5.319195935498122e-06,
      "loss": 0.0189,
      "step": 3612
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.9703837028552729,
      "eval_f1": 0.7603706972639012,
      "eval_loss": 0.11565817892551422,
      "eval_precision": 0.7976851851851852,
      "eval_recall": 0.7263912310286678,
      "eval_runtime": 15.1081,
      "eval_samples_per_second": 159.517,
      "eval_steps_per_second": 19.989,
      "step": 3612
    },
    {
      "epoch": 4.0,
      "learning_rate": 0.0,
      "loss": 0.006,
      "step": 4816
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.9703564318634269,
      "eval_f1": 0.7563326608383771,
      "eval_loss": 0.15718454122543335,
      "eval_precision": 0.8075634274772618,
      "eval_recall": 0.7112141652613828,
      "eval_runtime": 13.5443,
      "eval_samples_per_second": 177.934,
      "eval_steps_per_second": 22.297,
      "step": 4816
    },
    {
      "epoch": 4.0,
      "step": 4816,
      "total_flos": 2366884617110520.0,
      "train_loss": 0.052028106791632514,
      "train_runtime": 1649.8443,
      "train_samples_per_second": 23.355,
      "train_steps_per_second": 2.919
    }
  ],
  "max_steps": 4816,
  "num_train_epochs": 4,
  "total_flos": 2366884617110520.0,
  "trial_name": null,
  "trial_params": null
}