Hugging Face's logo

StevenLimcorn
/
unsup-simcse-roberta-large-semeval2016-laptops

Feature Extraction
Transformers
PyTorch
TensorFlow
JAX
roberta
generated_from_keras_callback
text-embeddings-inference
Inference Endpoints
Model card Files Community
unsup-simcse-roberta-large-semeval2016-laptops
File size: 2,709 Bytes 
f1e06fe
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
99
100
101
102
103
104
105
 
{
  "best_metric": 0.8157061201962169,
  "best_model_checkpoint": "/content/result/unsup-simcse-roberta-large-semeval2016-laptops",
  "epoch": 30.0,
  "global_step": 1200,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 3.12,
      "eval_avg_sts": 0.7679912497622495,
      "eval_sickr_spearman": 0.7276956826491402,
      "eval_stsb_spearman": 0.8082868168753589,
      "step": 125
    },
    {
      "epoch": 6.25,
      "eval_avg_sts": 0.7686040961574563,
      "eval_sickr_spearman": 0.7215020721186955,
      "eval_stsb_spearman": 0.8157061201962169,
      "step": 250
    },
    {
      "epoch": 9.38,
      "eval_avg_sts": 0.7750921030285816,
      "eval_sickr_spearman": 0.740750295864512,
      "eval_stsb_spearman": 0.8094339101926511,
      "step": 375
    },
    {
      "epoch": 12.5,
      "learning_rate": 2.916666666666667e-05,
      "loss": 0.0019,
      "step": 500
    },
    {
      "epoch": 12.5,
      "eval_avg_sts": 0.7645168841110166,
      "eval_sickr_spearman": 0.7163253760678987,
      "eval_stsb_spearman": 0.8127083921541344,
      "step": 500
    },
    {
      "epoch": 15.62,
      "eval_avg_sts": 0.7631076478210288,
      "eval_sickr_spearman": 0.7148924642186953,
      "eval_stsb_spearman": 0.8113228314233623,
      "step": 625
    },
    {
      "epoch": 18.75,
      "eval_avg_sts": 0.7641477709859748,
      "eval_sickr_spearman": 0.7158616838146151,
      "eval_stsb_spearman": 0.8124338581573343,
      "step": 750
    },
    {
      "epoch": 21.88,
      "eval_avg_sts": 0.7603328876767634,
      "eval_sickr_spearman": 0.7131653618731838,
      "eval_stsb_spearman": 0.8075004134803432,
      "step": 875
    },
    {
      "epoch": 25.0,
      "learning_rate": 8.333333333333334e-06,
      "loss": 0.0004,
      "step": 1000
    },
    {
      "epoch": 25.0,
      "eval_avg_sts": 0.7593813987808072,
      "eval_sickr_spearman": 0.7131961017781041,
      "eval_stsb_spearman": 0.8055666957835104,
      "step": 1000
    },
    {
      "epoch": 25.0,
      "eval_avg_sts": 0.7593813987808072,
      "eval_sickr_spearman": 0.7131961017781041,
      "eval_stsb_spearman": 0.8055666957835104,
      "step": 1000
    },
    {
      "epoch": 28.12,
      "eval_avg_sts": 0.7595589061661745,
      "eval_sickr_spearman": 0.7140072029880896,
      "eval_stsb_spearman": 0.8051106093442593,
      "step": 1125
    },
    {
      "epoch": 30.0,
      "step": 1200,
      "train_runtime": 2594.2478,
      "train_samples_per_second": 0.463
    }
  ],
  "max_steps": 1200,
  "num_train_epochs": 30,
  "total_flos": 10230181596610560,
  "trial_name": null,
  "trial_params": null
}