Hugging Face's logo

Speedsy
/
tr-bert-base-128k-6500

Sentence Similarity
Safetensors
sentence-transformers
English
PyLate
bert
ColBERT
feature-extraction
Generated from Trainer
dataset_size:798036
loss:Distillation
text-embeddings-inference
Model card Files Community
tr-bert-base-128k-6500
File size: 3,029 Bytes 
7669cb4
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 0.13031797586110108,
  "eval_steps": 500,
  "global_step": 6500,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.01002445968162316,
      "grad_norm": 0.4234631359577179,
      "learning_rate": 2.969926620955131e-05,
      "loss": 0.0295,
      "step": 500
    },
    {
      "epoch": 0.02004891936324632,
      "grad_norm": 0.30727919936180115,
      "learning_rate": 2.939853241910261e-05,
      "loss": 0.0263,
      "step": 1000
    },
    {
      "epoch": 0.03007337904486948,
      "grad_norm": 1.893353819847107,
      "learning_rate": 2.9097798628653917e-05,
      "loss": 0.0239,
      "step": 1500
    },
    {
      "epoch": 0.04009783872649264,
      "grad_norm": 0.4890647232532501,
      "learning_rate": 2.879706483820522e-05,
      "loss": 0.0234,
      "step": 2000
    },
    {
      "epoch": 0.0501222984081158,
      "grad_norm": 0.25260698795318604,
      "learning_rate": 2.849633104775653e-05,
      "loss": 0.0227,
      "step": 2500
    },
    {
      "epoch": 0.06014675808973896,
      "grad_norm": 0.3567095994949341,
      "learning_rate": 2.819559725730783e-05,
      "loss": 0.0216,
      "step": 3000
    },
    {
      "epoch": 0.07017121777136212,
      "grad_norm": 0.21351881325244904,
      "learning_rate": 2.7894863466859138e-05,
      "loss": 0.0234,
      "step": 3500
    },
    {
      "epoch": 0.08019567745298528,
      "grad_norm": 0.3005831241607666,
      "learning_rate": 2.7594129676410442e-05,
      "loss": 0.0217,
      "step": 4000
    },
    {
      "epoch": 0.09022013713460844,
      "grad_norm": 0.1961655169725418,
      "learning_rate": 2.729339588596175e-05,
      "loss": 0.0212,
      "step": 4500
    },
    {
      "epoch": 0.1002445968162316,
      "grad_norm": 0.2553817927837372,
      "learning_rate": 2.699266209551305e-05,
      "loss": 0.0206,
      "step": 5000
    },
    {
      "epoch": 0.11026905649785476,
      "grad_norm": 0.2411675900220871,
      "learning_rate": 2.6691928305064358e-05,
      "loss": 0.0206,
      "step": 5500
    },
    {
      "epoch": 0.12029351617947792,
      "grad_norm": 0.36216187477111816,
      "learning_rate": 2.6391194514615663e-05,
      "loss": 0.0209,
      "step": 6000
    },
    {
      "epoch": 0.13031797586110108,
      "grad_norm": 0.37243837118148804,
      "learning_rate": 2.609046072416697e-05,
      "loss": 0.0213,
      "step": 6500
    }
  ],
  "logging_steps": 500,
  "max_steps": 49878,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 1,
  "save_steps": 500,
  "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": 16,
  "trial_name": null,
  "trial_params": null
}