Hugging Face's logo

mpiorczynski
/
relu-bert-base-uncased

Fill-Mask
Transformers
PyTorch
Safetensors
English
bert
Inference Endpoints
Model card Files Community
1
relu-bert-base-uncased
File size: 1,821 Bytes 
5af4881
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": 1.7642425298690796,
  "best_model_checkpoint": "/net/tscratch/people/plgpiorczynskim/saved_models/relu-bert-base-uncased/checkpoint-5000",
  "epoch": 0.09378047865556306,
  "global_step": 5000,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.01,
      "learning_rate": 4.975e-05,
      "loss": 2.2388,
      "step": 500
    },
    {
      "epoch": 0.02,
      "learning_rate": 4.9500000000000004e-05,
      "loss": 1.9998,
      "step": 1000
    },
    {
      "epoch": 0.03,
      "learning_rate": 4.9250000000000004e-05,
      "loss": 1.9622,
      "step": 1500
    },
    {
      "epoch": 0.04,
      "learning_rate": 4.9e-05,
      "loss": 1.9386,
      "step": 2000
    },
    {
      "epoch": 0.05,
      "learning_rate": 4.875e-05,
      "loss": 1.9249,
      "step": 2500
    },
    {
      "epoch": 0.06,
      "learning_rate": 4.85e-05,
      "loss": 1.914,
      "step": 3000
    },
    {
      "epoch": 0.07,
      "learning_rate": 4.825e-05,
      "loss": 1.9023,
      "step": 3500
    },
    {
      "epoch": 0.08,
      "learning_rate": 4.8e-05,
      "loss": 1.8955,
      "step": 4000
    },
    {
      "epoch": 0.08,
      "learning_rate": 4.775e-05,
      "loss": 1.8862,
      "step": 4500
    },
    {
      "epoch": 0.09,
      "learning_rate": 4.75e-05,
      "loss": 1.885,
      "step": 5000
    },
    {
      "epoch": 0.09,
      "eval_accuracy": 0.6519307229448076,
      "eval_loss": 1.7642425298690796,
      "eval_runtime": 2235.5625,
      "eval_samples_per_second": 961.542,
      "eval_steps_per_second": 1.252,
      "step": 5000
    }
  ],
  "max_steps": 100000,
  "num_train_epochs": 2,
  "total_flos": 2.52676620288e+17,
  "trial_name": null,
  "trial_params": null
}