Hugging Face's logo

lfcc
/
bert-portuguese-event-trigger

Token Classification
Transformers
PyTorch
bert
Inference Endpoints
Model card Files Community
bert-portuguese-event-trigger
File size: 1,825 Bytes 
1d211ff
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 3.2822757111597376,
  "global_step": 1500,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "eval_accuracy": 0.9880602583834709,
      "eval_f1": 0.5721476510067114,
      "eval_loss": 0.04454098641872406,
      "eval_precision": 0.6495238095238095,
      "eval_recall": 0.5112443778110944,
      "eval_runtime": 28.2935,
      "eval_samples_per_second": 40.327,
      "eval_steps_per_second": 4.065,
      "step": 457
    },
    {
      "epoch": 1.09,
      "learning_rate": 1.7811816192560176e-05,
      "loss": 0.1035,
      "step": 500
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.9889464110815727,
      "eval_f1": 0.6278166278166278,
      "eval_loss": 0.03989504650235176,
      "eval_precision": 0.6516129032258065,
      "eval_recall": 0.6056971514242878,
      "eval_runtime": 28.1601,
      "eval_samples_per_second": 40.518,
      "eval_steps_per_second": 4.084,
      "step": 914
    },
    {
      "epoch": 2.19,
      "learning_rate": 1.562363238512035e-05,
      "loss": 0.0338,
      "step": 1000
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.9899258430110536,
      "eval_f1": 0.657707509881423,
      "eval_loss": 0.03925063833594322,
      "eval_precision": 0.6956521739130435,
      "eval_recall": 0.623688155922039,
      "eval_runtime": 28.3748,
      "eval_samples_per_second": 40.212,
      "eval_steps_per_second": 4.053,
      "step": 1371
    },
    {
      "epoch": 3.28,
      "learning_rate": 1.3435448577680525e-05,
      "loss": 0.023,
      "step": 1500
    }
  ],
  "max_steps": 4570,
  "num_train_epochs": 10,
  "total_flos": 3912926914649088.0,
  "trial_name": null,
  "trial_params": null
}