Hugging Face's logo

SAVSNET
/
PetHarbor

Safetensors
bert
Model card Files
xet
Community
3
PetHarbor
File size: 3,374 Bytes 
f515b08
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
119
120
121
122
123
124
125
126
127
 
{
  "best_global_step": 890,
  "best_metric": 0.01059602852910757,
  "best_model_checkpoint": "projects/PetHarbor/abilation/model/checkpoint-890",
  "epoch": 5.0,
  "eval_steps": 500,
  "global_step": 2225,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "eval_f1": 0.8074838359489795,
      "eval_loss": 0.012898492626845837,
      "eval_precision": 0.784729522262996,
      "eval_recall": 0.8343749166767597,
      "eval_runtime": 16.7545,
      "eval_samples_per_second": 98.899,
      "eval_steps_per_second": 3.104,
      "step": 445
    },
    {
      "epoch": 1.1235955056179776,
      "grad_norm": 0.22999469935894012,
      "learning_rate": 4.994393258426966e-05,
      "loss": 0.0746,
      "step": 500
    },
    {
      "epoch": 2.0,
      "eval_f1": 0.8716156719691427,
      "eval_loss": 0.01059602852910757,
      "eval_precision": 0.8564399929788535,
      "eval_recall": 0.8888046385535433,
      "eval_runtime": 17.4323,
      "eval_samples_per_second": 95.054,
      "eval_steps_per_second": 2.983,
      "step": 890
    },
    {
      "epoch": 2.247191011235955,
      "grad_norm": 0.7581475377082825,
      "learning_rate": 4.988775280898877e-05,
      "loss": 0.0104,
      "step": 1000
    },
    {
      "epoch": 3.0,
      "eval_f1": 0.8913446050377285,
      "eval_loss": 0.013407337479293346,
      "eval_precision": 0.9226423853601201,
      "eval_recall": 0.877210010380415,
      "eval_runtime": 17.5608,
      "eval_samples_per_second": 94.358,
      "eval_steps_per_second": 2.961,
      "step": 1335
    },
    {
      "epoch": 3.370786516853933,
      "grad_norm": 0.10075754672288895,
      "learning_rate": 4.983157303370787e-05,
      "loss": 0.0047,
      "step": 1500
    },
    {
      "epoch": 4.0,
      "eval_f1": 0.8976870931487725,
      "eval_loss": 0.013252191245555878,
      "eval_precision": 0.8843595176063854,
      "eval_recall": 0.9122072821208133,
      "eval_runtime": 17.6962,
      "eval_samples_per_second": 93.636,
      "eval_steps_per_second": 2.938,
      "step": 1780
    },
    {
      "epoch": 4.49438202247191,
      "grad_norm": 0.009224419482052326,
      "learning_rate": 4.9775393258426966e-05,
      "loss": 0.0037,
      "step": 2000
    },
    {
      "epoch": 5.0,
      "eval_f1": 0.8902396967555823,
      "eval_loss": 0.014422020874917507,
      "eval_precision": 0.8674601590060164,
      "eval_recall": 0.9241467187184571,
      "eval_runtime": 17.4028,
      "eval_samples_per_second": 95.215,
      "eval_steps_per_second": 2.988,
      "step": 2225
    }
  ],
  "logging_steps": 500,
  "max_steps": 445000,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 1000,
  "save_steps": 500,
  "stateful_callbacks": {
    "EarlyStoppingCallback": {
      "args": {
        "early_stopping_patience": 3,
        "early_stopping_threshold": 0.0
      },
      "attributes": {
        "early_stopping_patience_counter": 3
      }
    },
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": true
      },
      "attributes": {}
    }
  },
  "total_flos": 1.858493744357376e+16,
  "train_batch_size": 32,
  "trial_name": null,
  "trial_params": null
}