Hugging Face's logo

tmnam20
/
xlm-roberta-large-vtoc-10

Text Classification
Transformers
Safetensors
English
xlm-roberta
Generated from Trainer
Eval Results
Inference Endpoints
Model card Files Community
xlm-roberta-large-vtoc-10
File size: 2,520 Bytes 
96b17ae
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
117
118
 
{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 3.0,
  "eval_steps": 500,
  "global_step": 684,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.22,
      "learning_rate": 1.8538011695906434e-05,
      "loss": 2.6867,
      "step": 50
    },
    {
      "epoch": 0.44,
      "learning_rate": 1.7076023391812867e-05,
      "loss": 1.3397,
      "step": 100
    },
    {
      "epoch": 0.66,
      "learning_rate": 1.56140350877193e-05,
      "loss": 0.9286,
      "step": 150
    },
    {
      "epoch": 0.88,
      "learning_rate": 1.4152046783625733e-05,
      "loss": 0.731,
      "step": 200
    },
    {
      "epoch": 1.1,
      "learning_rate": 1.2690058479532166e-05,
      "loss": 0.6137,
      "step": 250
    },
    {
      "epoch": 1.32,
      "learning_rate": 1.1228070175438597e-05,
      "loss": 0.5074,
      "step": 300
    },
    {
      "epoch": 1.54,
      "learning_rate": 9.76608187134503e-06,
      "loss": 0.4564,
      "step": 350
    },
    {
      "epoch": 1.75,
      "learning_rate": 8.304093567251463e-06,
      "loss": 0.4185,
      "step": 400
    },
    {
      "epoch": 1.97,
      "learning_rate": 6.842105263157896e-06,
      "loss": 0.4197,
      "step": 450
    },
    {
      "epoch": 2.19,
      "learning_rate": 5.380116959064328e-06,
      "loss": 0.3117,
      "step": 500
    },
    {
      "epoch": 2.19,
      "eval_accuracy": 0.8651010376843256,
      "eval_loss": 0.47706347703933716,
      "eval_runtime": 4.5844,
      "eval_samples_per_second": 399.402,
      "eval_steps_per_second": 25.085,
      "step": 500
    },
    {
      "epoch": 2.41,
      "learning_rate": 3.9181286549707605e-06,
      "loss": 0.2567,
      "step": 550
    },
    {
      "epoch": 2.63,
      "learning_rate": 2.456140350877193e-06,
      "loss": 0.2188,
      "step": 600
    },
    {
      "epoch": 2.85,
      "learning_rate": 9.941520467836258e-07,
      "loss": 0.2088,
      "step": 650
    },
    {
      "epoch": 3.0,
      "step": 684,
      "total_flos": 2080451589613542.0,
      "train_loss": 0.6776563061608208,
      "train_runtime": 252.7714,
      "train_samples_per_second": 86.556,
      "train_steps_per_second": 2.706
    }
  ],
  "logging_steps": 50,
  "max_steps": 684,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 3,
  "save_steps": 500,
  "total_flos": 2080451589613542.0,
  "train_batch_size": 32,
  "trial_name": null,
  "trial_params": null
}