Hugging Face's logo

uqa
/
xlm-roberta-base-UQA-1.0

Question Answering
Transformers
PyTorch
xlm-roberta
Inference Endpoints
Model card Files Community
1
xlm-roberta-base-UQA-1.0
File size: 2,608 Bytes 
02f266f
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
106
107
108
109
110
111
112
113
114
115
116
 
{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 5.994482251241493,
  "eval_steps": 500,
  "global_step": 4074,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.74,
      "learning_rate": 1.755522827687776e-05,
      "loss": 2.1963,
      "step": 500
    },
    {
      "epoch": 1.0,
      "eval_loss": 1.6409082412719727,
      "eval_runtime": 92.0193,
      "eval_samples_per_second": 129.201,
      "eval_steps_per_second": 8.085,
      "step": 679
    },
    {
      "epoch": 1.47,
      "learning_rate": 1.51006381934217e-05,
      "loss": 1.3139,
      "step": 1000
    },
    {
      "epoch": 2.0,
      "eval_loss": 1.5666508674621582,
      "eval_runtime": 91.885,
      "eval_samples_per_second": 129.39,
      "eval_steps_per_second": 8.097,
      "step": 1359
    },
    {
      "epoch": 2.21,
      "learning_rate": 1.265095729013255e-05,
      "loss": 1.1653,
      "step": 1500
    },
    {
      "epoch": 2.94,
      "learning_rate": 1.0196367206676486e-05,
      "loss": 1.0453,
      "step": 2000
    },
    {
      "epoch": 3.0,
      "eval_loss": 1.5353167057037354,
      "eval_runtime": 91.6769,
      "eval_samples_per_second": 129.684,
      "eval_steps_per_second": 8.115,
      "step": 2038
    },
    {
      "epoch": 3.68,
      "learning_rate": 7.741777123220424e-06,
      "loss": 0.9454,
      "step": 2500
    },
    {
      "epoch": 4.0,
      "eval_loss": 1.5275497436523438,
      "eval_runtime": 91.4939,
      "eval_samples_per_second": 129.943,
      "eval_steps_per_second": 8.132,
      "step": 2718
    },
    {
      "epoch": 4.41,
      "learning_rate": 5.28718703976436e-06,
      "loss": 0.8888,
      "step": 3000
    },
    {
      "epoch": 5.0,
      "eval_loss": 1.5392436981201172,
      "eval_runtime": 91.9557,
      "eval_samples_per_second": 129.291,
      "eval_steps_per_second": 8.091,
      "step": 3398
    },
    {
      "epoch": 5.15,
      "learning_rate": 2.832596956308297e-06,
      "loss": 0.8473,
      "step": 3500
    },
    {
      "epoch": 5.89,
      "learning_rate": 3.829160530191459e-07,
      "loss": 0.8072,
      "step": 4000
    },
    {
      "epoch": 5.99,
      "eval_loss": 1.5723119974136353,
      "eval_runtime": 91.9397,
      "eval_samples_per_second": 129.313,
      "eval_steps_per_second": 8.092,
      "step": 4074
    }
  ],
  "logging_steps": 500,
  "max_steps": 4074,
  "num_train_epochs": 6,
  "save_steps": 500,
  "total_flos": 1.021853879809367e+17,
  "trial_name": null,
  "trial_params": null
}