Hugging Face's logo

mbruton
/
gal_enptsp_XLM-R

Token Classification
Transformers
PyTorch
4 languages
xlm-roberta
Inference Endpoints
Model card Files Community
gal_enptsp_XLM-R
File size: 2,099 Bytes 
bf474bb
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": 0.30543625354766846,
  "best_model_checkpoint": "gal_enptsp_XLM-R/checkpoint-750",
  "epoch": 4.0,
  "global_step": 1000,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "eval_accuracy": 0.8991351815505397,
      "eval_f1": 0.6318647223084084,
      "eval_loss": 0.3699323534965515,
      "eval_precision": 0.6827019778746228,
      "eval_recall": 0.5880739243430552,
      "eval_runtime": 5.2937,
      "eval_samples_per_second": 188.336,
      "eval_steps_per_second": 11.901,
      "step": 250
    },
    {
      "epoch": 2.0,
      "learning_rate": 1.9600000000000002e-05,
      "loss": 0.4668,
      "step": 500
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.9129661432777233,
      "eval_f1": 0.6916499367982749,
      "eval_loss": 0.3100881576538086,
      "eval_precision": 0.7130154836731565,
      "eval_recall": 0.6715275772451631,
      "eval_runtime": 5.2768,
      "eval_samples_per_second": 188.94,
      "eval_steps_per_second": 11.939,
      "step": 500
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.9163088812561334,
      "eval_f1": 0.709931310818546,
      "eval_loss": 0.30543625354766846,
      "eval_precision": 0.7036879432624114,
      "eval_recall": 0.7162864568293387,
      "eval_runtime": 5.3377,
      "eval_samples_per_second": 186.785,
      "eval_steps_per_second": 11.803,
      "step": 750
    },
    {
      "epoch": 4.0,
      "learning_rate": 1.9200000000000003e-05,
      "loss": 0.2407,
      "step": 1000
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.9167075564278705,
      "eval_f1": 0.712059765208111,
      "eval_loss": 0.3060489892959595,
      "eval_precision": 0.7019217281526161,
      "eval_recall": 0.7224949465781114,
      "eval_runtime": 5.3184,
      "eval_samples_per_second": 187.461,
      "eval_steps_per_second": 11.846,
      "step": 1000
    }
  ],
  "max_steps": 25000,
  "num_train_epochs": 100,
  "total_flos": 616925912677200.0,
  "trial_name": null,
  "trial_params": null
}