Hugging Face's logo

guyhadad01
/
EncodeRec

Sentence Similarity
sentence-transformers
TensorBoard
Safetensors
English
bert
text-embeddings-inference
Model card Files
xet
Metrics Community
EncodeRec
File size: 2,874 Bytes 
e672e3b
 
 
 
d31eb62
e672e3b
d31eb62
e672e3b
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
203e168
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
d31eb62
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
e672e3b
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_global_step": null,
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 0.010602392606598222,
  "eval_steps": 500,
  "global_step": 600,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.0008835327172165185,
      "grad_norm": 5.665971279144287,
      "learning_rate": 4.3286219081272084e-07,
      "loss": 1.3738,
      "step": 50
    },
    {
      "epoch": 0.001767065434433037,
      "grad_norm": 5.6161651611328125,
      "learning_rate": 8.745583038869259e-07,
      "loss": 1.1661,
      "step": 100
    },
    {
      "epoch": 0.0026505981516495554,
      "grad_norm": 7.866199970245361,
      "learning_rate": 1.3162544169611309e-06,
      "loss": 1.2107,
      "step": 150
    },
    {
      "epoch": 0.003534130868866074,
      "grad_norm": 5.07379674911499,
      "learning_rate": 1.7579505300353357e-06,
      "loss": 0.9855,
      "step": 200
    },
    {
      "epoch": 0.004417663586082593,
      "grad_norm": 3.2607851028442383,
      "learning_rate": 2.199646643109541e-06,
      "loss": 0.9431,
      "step": 250
    },
    {
      "epoch": 0.005301196303299111,
      "grad_norm": 6.517599105834961,
      "learning_rate": 2.6413427561837457e-06,
      "loss": 0.8566,
      "step": 300
    },
    {
      "epoch": 0.00618472902051563,
      "grad_norm": 2.8523333072662354,
      "learning_rate": 3.0830388692579506e-06,
      "loss": 0.8697,
      "step": 350
    },
    {
      "epoch": 0.007068261737732148,
      "grad_norm": 3.460226058959961,
      "learning_rate": 3.5247349823321555e-06,
      "loss": 0.8099,
      "step": 400
    },
    {
      "epoch": 0.007951794454948667,
      "grad_norm": 3.2528891563415527,
      "learning_rate": 3.966431095406361e-06,
      "loss": 0.766,
      "step": 450
    },
    {
      "epoch": 0.008835327172165185,
      "grad_norm": 4.1086039543151855,
      "learning_rate": 4.408127208480566e-06,
      "loss": 0.7402,
      "step": 500
    },
    {
      "epoch": 0.009718859889381704,
      "grad_norm": 3.8160510063171387,
      "learning_rate": 4.849823321554771e-06,
      "loss": 0.8769,
      "step": 550
    },
    {
      "epoch": 0.010602392606598222,
      "grad_norm": 2.901653289794922,
      "learning_rate": 5.291519434628975e-06,
      "loss": 0.6827,
      "step": 600
    }
  ],
  "logging_steps": 50,
  "max_steps": 56591,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 1,
  "save_steps": 200,
  "stateful_callbacks": {
    "TrainerControl": {
      "args": {
        "should_epoch_stop": false,
        "should_evaluate": false,
        "should_log": false,
        "should_save": true,
        "should_training_stop": false
      },
      "attributes": {}
    }
  },
  "total_flos": 0.0,
  "train_batch_size": 256,
  "trial_name": null,
  "trial_params": null
}