Hugging Face's logo

LamaDiab
/
MiniLM-V21Data-256ConstantBATCH-SemanticEngine

Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
dense
Generated from Trainer
dataset_size:529974
loss:MultipleNegativesSymmetricRankingLoss
Eval Results (legacy)
text-embeddings-inference
Model card Files
xet
Community
MiniLM-V21Data-256ConstantBATCH-SemanticEngine
File size: 2,677 Bytes 
3860c84
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
 
{
  "best_global_step": null,
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 2.0,
  "eval_steps": 1000,
  "global_step": 4144,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.0004828585224529213,
      "grad_norm": 6.790188789367676,
      "learning_rate": 0.0,
      "loss": 4.1585,
      "step": 1
    },
    {
      "epoch": 0.48285852245292127,
      "grad_norm": 6.372687339782715,
      "learning_rate": 6.028968014484008e-06,
      "loss": 3.2055,
      "step": 1000
    },
    {
      "epoch": 0.48285852245292127,
      "eval_cosine_accuracy": 0.9400568008422852,
      "eval_loss": 0.5675864219665527,
      "eval_runtime": 35.3676,
      "eval_samples_per_second": 268.862,
      "eval_steps_per_second": 1.074,
      "step": 1000
    },
    {
      "epoch": 0.9657170449058425,
      "grad_norm": 8.225760459899902,
      "learning_rate": 1.2063971031985518e-05,
      "loss": 2.0069,
      "step": 2000
    },
    {
      "epoch": 0.9657170449058425,
      "eval_cosine_accuracy": 0.9479440450668335,
      "eval_loss": 0.5088897347450256,
      "eval_runtime": 35.33,
      "eval_samples_per_second": 269.148,
      "eval_steps_per_second": 1.076,
      "step": 2000
    },
    {
      "epoch": 1.448142788229619,
      "grad_norm": 6.469565391540527,
      "learning_rate": 1.8098974049487025e-05,
      "loss": 1.8871,
      "step": 3000
    },
    {
      "epoch": 1.448142788229619,
      "eval_cosine_accuracy": 0.9563571214675903,
      "eval_loss": 0.4804830253124237,
      "eval_runtime": 34.5635,
      "eval_samples_per_second": 275.117,
      "eval_steps_per_second": 1.099,
      "step": 3000
    },
    {
      "epoch": 1.930535455861071,
      "grad_norm": 6.702775955200195,
      "learning_rate": 1.896634978119813e-05,
      "loss": 1.6352,
      "step": 4000
    },
    {
      "epoch": 1.930535455861071,
      "eval_cosine_accuracy": 0.9602481722831726,
      "eval_loss": 0.47556957602500916,
      "eval_runtime": 34.5281,
      "eval_samples_per_second": 275.399,
      "eval_steps_per_second": 1.101,
      "step": 4000
    }
  ],
  "logging_steps": 1000,
  "max_steps": 16568,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 8,
  "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
}