Hugging Face's logo

mbruton
/
gal_ensp_mBERT

Token Classification
Transformers
PyTorch
Galician
English
Spanish
bert
Inference Endpoints
Model card Files Community
1
gal_ensp_mBERT
File size: 2,096 Bytes 
58af68d
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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": 0.31418120861053467,
  "best_model_checkpoint": "gal_ensp_mBERT/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": 0.8990431795878312,
      "eval_f1": 0.6289113806690875,
      "eval_loss": 0.3602694869041443,
      "eval_precision": 0.676416819012797,
      "eval_recall": 0.5876407738954663,
      "eval_runtime": 5.3964,
      "eval_samples_per_second": 184.751,
      "eval_steps_per_second": 11.674,
      "step": 250
    },
    {
      "epoch": 2.0,
      "learning_rate": 1.9600000000000002e-05,
      "loss": 0.4515,
      "step": 500
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.9109421000981355,
      "eval_f1": 0.6887108521485796,
      "eval_loss": 0.3213185966014862,
      "eval_precision": 0.6948853615520282,
      "eval_recall": 0.6826451053999423,
      "eval_runtime": 5.4855,
      "eval_samples_per_second": 181.753,
      "eval_steps_per_second": 11.485,
      "step": 500
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.9141928361138371,
      "eval_f1": 0.6999709976798144,
      "eval_loss": 0.31418120861053467,
      "eval_precision": 0.703029420332071,
      "eval_recall": 0.6969390701703725,
      "eval_runtime": 5.502,
      "eval_samples_per_second": 181.208,
      "eval_steps_per_second": 11.45,
      "step": 750
    },
    {
      "epoch": 4.0,
      "learning_rate": 1.9200000000000003e-05,
      "loss": 0.2256,
      "step": 1000
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.9180569185475956,
      "eval_f1": 0.7156714809226128,
      "eval_loss": 0.3158390522003174,
      "eval_precision": 0.7123444428550995,
      "eval_recall": 0.7190297429974011,
      "eval_runtime": 5.4912,
      "eval_samples_per_second": 181.562,
      "eval_steps_per_second": 11.473,
      "step": 1000
    }
  ],
  "max_steps": 25000,
  "num_train_epochs": 100,
  "total_flos": 623488737039000.0,
  "trial_name": null,
  "trial_params": null
}