Hugging Face's logo

LamaDiab
/
MiniLM-v33-SemanticEngine

Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
dense
Generated from Trainer
dataset_size:902672
loss:MultipleNegativesSymmetricRankingLoss
Eval Results (legacy)
text-embeddings-inference
Model card Files
xet
Community
MiniLM-v33-SemanticEngine
File size: 4,003 Bytes
4a3cc29
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
 
{
  "best_global_step": null,
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 2.0,
  "eval_steps": 1000,
  "global_step": 7056,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.0002835270768358378,
      "grad_norm": 5.961081027984619,
      "learning_rate": 0.0,
      "loss": 2.7767,
      "step": 1
    },
    {
      "epoch": 0.28352707683583783,
      "grad_norm": 3.903580665588379,
      "learning_rate": 2.8300283286118982e-05,
      "loss": 2.1777,
      "step": 1000
    },
    {
      "epoch": 0.28352707683583783,
      "eval_cosine_accuracy": 0.9602788686752319,
      "eval_loss": 1.0198065042495728,
      "eval_runtime": 28.5803,
      "eval_samples_per_second": 331.207,
      "eval_steps_per_second": 1.295,
      "step": 1000
    },
    {
      "epoch": 0.5670541536716757,
      "grad_norm": 3.8064451217651367,
      "learning_rate": 2.7041587901701324e-05,
      "loss": 1.5725,
      "step": 2000
    },
    {
      "epoch": 0.5670541536716757,
      "eval_cosine_accuracy": 0.967145562171936,
      "eval_loss": 0.9300715327262878,
      "eval_runtime": 27.2211,
      "eval_samples_per_second": 347.745,
      "eval_steps_per_second": 1.359,
      "step": 2000
    },
    {
      "epoch": 0.8505812305075134,
      "grad_norm": 3.4235427379608154,
      "learning_rate": 2.3890989287964716e-05,
      "loss": 1.472,
      "step": 3000
    },
    {
      "epoch": 0.8505812305075134,
      "eval_cosine_accuracy": 0.9721106886863708,
      "eval_loss": 0.847688615322113,
      "eval_runtime": 33.136,
      "eval_samples_per_second": 285.671,
      "eval_steps_per_second": 1.117,
      "step": 3000
    },
    {
      "epoch": 1.134032303768773,
      "grad_norm": 3.523313283920288,
      "learning_rate": 2.0740390674228104e-05,
      "loss": 1.8782,
      "step": 4000
    },
    {
      "epoch": 1.134032303768773,
      "eval_cosine_accuracy": 0.9714768528938293,
      "eval_loss": 0.8507260084152222,
      "eval_runtime": 27.9345,
      "eval_samples_per_second": 338.864,
      "eval_steps_per_second": 1.325,
      "step": 4000
    },
    {
      "epoch": 1.4173986965145935,
      "grad_norm": 4.125911712646484,
      "learning_rate": 1.7589792060491492e-05,
      "loss": 1.394,
      "step": 5000
    },
    {
      "epoch": 1.4173986965145935,
      "eval_cosine_accuracy": 0.9743291735649109,
      "eval_loss": 0.8180537223815918,
      "eval_runtime": 27.4596,
      "eval_samples_per_second": 344.725,
      "eval_steps_per_second": 1.347,
      "step": 5000
    },
    {
      "epoch": 1.7007650892604138,
      "grad_norm": 3.567063093185425,
      "learning_rate": 1.4439193446754883e-05,
      "loss": 1.3521,
      "step": 6000
    },
    {
      "epoch": 1.7007650892604138,
      "eval_cosine_accuracy": 0.9738009572029114,
      "eval_loss": 0.8179722428321838,
      "eval_runtime": 27.6707,
      "eval_samples_per_second": 342.095,
      "eval_steps_per_second": 1.337,
      "step": 6000
    },
    {
      "epoch": 1.9841314820062341,
      "grad_norm": 3.4355316162109375,
      "learning_rate": 1.1288594833018275e-05,
      "loss": 1.3137,
      "step": 7000
    },
    {
      "epoch": 1.9841314820062341,
      "eval_cosine_accuracy": 0.9742235541343689,
      "eval_loss": 0.8137649297714233,
      "eval_runtime": 27.3447,
      "eval_samples_per_second": 346.173,
      "eval_steps_per_second": 1.353,
      "step": 7000
    }
  ],
  "logging_steps": 1000,
  "max_steps": 10581,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 3,
  "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": 256,
  "trial_name": null,
  "trial_params": null
}