Hugging Face's logo

MHGanainy
/
16-clusters-balanced-5

PEFT
Safetensors
Generated from Trainer
Model card Files
xet
Community
16-clusters-balanced-5
File size: 4,809 Bytes 
55b747f
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
 
{
  "best_metric": null,
  "best_model_checkpoint": null,
  "epoch": 1.0,
  "eval_steps": 500,
  "global_step": 2201,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.04543389368468878,
      "grad_norm": 0.09712143242359161,
      "learning_rate": 6.666666666666667e-06,
      "loss": 2.3519,
      "step": 100
    },
    {
      "epoch": 0.09086778736937756,
      "grad_norm": 0.19713231921195984,
      "learning_rate": 1.3333333333333333e-05,
      "loss": 2.3328,
      "step": 200
    },
    {
      "epoch": 0.13630168105406634,
      "grad_norm": 0.3079201281070709,
      "learning_rate": 2e-05,
      "loss": 2.2889,
      "step": 300
    },
    {
      "epoch": 0.18173557473875512,
      "grad_norm": 0.4669693112373352,
      "learning_rate": 1.986375615936076e-05,
      "loss": 2.2034,
      "step": 400
    },
    {
      "epoch": 0.22716946842344388,
      "grad_norm": 0.5451923608779907,
      "learning_rate": 1.945873711426545e-05,
      "loss": 2.1583,
      "step": 500
    },
    {
      "epoch": 0.2726033621081327,
      "grad_norm": 0.6099482774734497,
      "learning_rate": 1.8795979134761248e-05,
      "loss": 2.0602,
      "step": 600
    },
    {
      "epoch": 0.31803725579282144,
      "grad_norm": 0.6596097350120544,
      "learning_rate": 1.789354155935654e-05,
      "loss": 2.0473,
      "step": 700
    },
    {
      "epoch": 0.36347114947751025,
      "grad_norm": 0.7136645317077637,
      "learning_rate": 1.6776014700293388e-05,
      "loss": 2.0198,
      "step": 800
    },
    {
      "epoch": 0.408905043162199,
      "grad_norm": 0.8438076972961426,
      "learning_rate": 1.5473849787831045e-05,
      "loss": 2.0392,
      "step": 900
    },
    {
      "epoch": 0.45433893684688775,
      "grad_norm": 0.7616672515869141,
      "learning_rate": 1.402252921173342e-05,
      "loss": 1.9778,
      "step": 1000
    },
    {
      "epoch": 0.49977283053157656,
      "grad_norm": 0.9710221886634827,
      "learning_rate": 1.2461599669857771e-05,
      "loss": 1.9924,
      "step": 1100
    },
    {
      "epoch": 0.5452067242162654,
      "grad_norm": 0.8164697885513306,
      "learning_rate": 1.0833594569354579e-05,
      "loss": 1.9815,
      "step": 1200
    },
    {
      "epoch": 0.5906406179009541,
      "grad_norm": 0.9773705005645752,
      "learning_rate": 9.182875043718411e-06,
      "loss": 1.9676,
      "step": 1300
    },
    {
      "epoch": 0.6360745115856429,
      "grad_norm": 0.883895754814148,
      "learning_rate": 7.55442116654744e-06,
      "loss": 1.9931,
      "step": 1400
    },
    {
      "epoch": 0.6815084052703316,
      "grad_norm": 0.8479602336883545,
      "learning_rate": 5.992606299947589e-06,
      "loss": 1.9691,
      "step": 1500
    },
    {
      "epoch": 0.7269422989550205,
      "grad_norm": 0.749001145362854,
      "learning_rate": 4.539987975077471e-06,
      "loss": 1.9634,
      "step": 1600
    },
    {
      "epoch": 0.7723761926397092,
      "grad_norm": 0.9302273392677307,
      "learning_rate": 3.2361482518497367e-06,
      "loss": 1.9703,
      "step": 1700
    },
    {
      "epoch": 0.817810086324398,
      "grad_norm": 0.9604031443595886,
      "learning_rate": 2.116615156558488e-06,
      "loss": 1.9493,
      "step": 1800
    },
    {
      "epoch": 0.8632439800090868,
      "grad_norm": 1.0161337852478027,
      "learning_rate": 1.2118945869287768e-06,
      "loss": 1.9529,
      "step": 1900
    },
    {
      "epoch": 0.9086778736937755,
      "grad_norm": 1.0821712017059326,
      "learning_rate": 5.466390639829355e-07,
      "loss": 1.9312,
      "step": 2000
    },
    {
      "epoch": 0.9541117673784644,
      "grad_norm": 0.974641740322113,
      "learning_rate": 1.389759812114888e-07,
      "loss": 1.9328,
      "step": 2100
    },
    {
      "epoch": 0.9995456610631531,
      "grad_norm": 0.8598447442054749,
      "learning_rate": 1.3655431158055011e-11,
      "loss": 1.918,
      "step": 2200
    },
    {
      "epoch": 1.0,
      "step": 2201,
      "total_flos": 3.99992672354304e+16,
      "train_loss": 2.0455698882488162,
      "train_runtime": 686.5905,
      "train_samples_per_second": 6.411,
      "train_steps_per_second": 3.206
    }
  ],
  "logging_steps": 100,
  "max_steps": 2201,
  "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": true
      },
      "attributes": {}
    }
  },
  "total_flos": 3.99992672354304e+16,
  "train_batch_size": 2,
  "trial_name": null,
  "trial_params": null
}