File size: 5,600 Bytes
abe8798
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
{
  "best_metric": 0.7291533946990967,
  "best_model_checkpoint": "finetune_results/omarmomen/structformer_s1_final_with_pos/mnli-mm/checkpoint-6000",
  "epoch": 2.771362586605081,
  "global_step": 6000,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.18,
      "eval_accuracy": 0.614417552947998,
      "eval_loss": 0.8566737771034241,
      "eval_runtime": 12.1288,
      "eval_samples_per_second": 518.105,
      "eval_steps_per_second": 64.804,
      "step": 400
    },
    {
      "epoch": 0.23,
      "learning_rate": 4.884526558891455e-05,
      "loss": 0.9715,
      "step": 500
    },
    {
      "epoch": 0.37,
      "eval_accuracy": 0.6376512050628662,
      "eval_loss": 0.8208665251731873,
      "eval_runtime": 12.1366,
      "eval_samples_per_second": 517.771,
      "eval_steps_per_second": 64.763,
      "step": 800
    },
    {
      "epoch": 0.46,
      "learning_rate": 4.7690531177829104e-05,
      "loss": 0.8412,
      "step": 1000
    },
    {
      "epoch": 0.55,
      "eval_accuracy": 0.6712285280227661,
      "eval_loss": 0.7672932147979736,
      "eval_runtime": 12.1384,
      "eval_samples_per_second": 517.695,
      "eval_steps_per_second": 64.753,
      "step": 1200
    },
    {
      "epoch": 0.69,
      "learning_rate": 4.653579676674365e-05,
      "loss": 0.8026,
      "step": 1500
    },
    {
      "epoch": 0.74,
      "eval_accuracy": 0.6904837489128113,
      "eval_loss": 0.7384242415428162,
      "eval_runtime": 12.1361,
      "eval_samples_per_second": 517.794,
      "eval_steps_per_second": 64.765,
      "step": 1600
    },
    {
      "epoch": 0.92,
      "learning_rate": 4.53810623556582e-05,
      "loss": 0.7778,
      "step": 2000
    },
    {
      "epoch": 0.92,
      "eval_accuracy": 0.6818904876708984,
      "eval_loss": 0.7472041249275208,
      "eval_runtime": 12.1396,
      "eval_samples_per_second": 517.643,
      "eval_steps_per_second": 64.747,
      "step": 2000
    },
    {
      "epoch": 1.11,
      "eval_accuracy": 0.7019414305686951,
      "eval_loss": 0.7058711647987366,
      "eval_runtime": 12.1415,
      "eval_samples_per_second": 517.566,
      "eval_steps_per_second": 64.737,
      "step": 2400
    },
    {
      "epoch": 1.15,
      "learning_rate": 4.422632794457275e-05,
      "loss": 0.7107,
      "step": 2500
    },
    {
      "epoch": 1.29,
      "eval_accuracy": 0.6974856853485107,
      "eval_loss": 0.7071972489356995,
      "eval_runtime": 12.1307,
      "eval_samples_per_second": 518.025,
      "eval_steps_per_second": 64.794,
      "step": 2800
    },
    {
      "epoch": 1.39,
      "learning_rate": 4.30715935334873e-05,
      "loss": 0.6742,
      "step": 3000
    },
    {
      "epoch": 1.48,
      "eval_accuracy": 0.7054423689842224,
      "eval_loss": 0.702299177646637,
      "eval_runtime": 12.1415,
      "eval_samples_per_second": 517.563,
      "eval_steps_per_second": 64.737,
      "step": 3200
    },
    {
      "epoch": 1.62,
      "learning_rate": 4.1916859122401844e-05,
      "loss": 0.67,
      "step": 3500
    },
    {
      "epoch": 1.66,
      "eval_accuracy": 0.7143539190292358,
      "eval_loss": 0.6831963062286377,
      "eval_runtime": 12.1328,
      "eval_samples_per_second": 517.935,
      "eval_steps_per_second": 64.783,
      "step": 3600
    },
    {
      "epoch": 1.85,
      "learning_rate": 4.07621247113164e-05,
      "loss": 0.6684,
      "step": 4000
    },
    {
      "epoch": 1.85,
      "eval_accuracy": 0.7118077874183655,
      "eval_loss": 0.695106029510498,
      "eval_runtime": 12.1396,
      "eval_samples_per_second": 517.643,
      "eval_steps_per_second": 64.747,
      "step": 4000
    },
    {
      "epoch": 2.03,
      "eval_accuracy": 0.7141947746276855,
      "eval_loss": 0.7270315885543823,
      "eval_runtime": 12.134,
      "eval_samples_per_second": 517.885,
      "eval_steps_per_second": 64.777,
      "step": 4400
    },
    {
      "epoch": 2.08,
      "learning_rate": 3.960739030023095e-05,
      "loss": 0.6182,
      "step": 4500
    },
    {
      "epoch": 2.22,
      "eval_accuracy": 0.7051241397857666,
      "eval_loss": 0.7234853506088257,
      "eval_runtime": 12.1395,
      "eval_samples_per_second": 517.649,
      "eval_steps_per_second": 64.747,
      "step": 4800
    },
    {
      "epoch": 2.31,
      "learning_rate": 3.84526558891455e-05,
      "loss": 0.5444,
      "step": 5000
    },
    {
      "epoch": 2.4,
      "eval_accuracy": 0.7169000506401062,
      "eval_loss": 0.6947318911552429,
      "eval_runtime": 12.151,
      "eval_samples_per_second": 517.16,
      "eval_steps_per_second": 64.686,
      "step": 5200
    },
    {
      "epoch": 2.54,
      "learning_rate": 3.729792147806005e-05,
      "loss": 0.5451,
      "step": 5500
    },
    {
      "epoch": 2.59,
      "eval_accuracy": 0.7250159382820129,
      "eval_loss": 0.701257050037384,
      "eval_runtime": 12.1376,
      "eval_samples_per_second": 517.728,
      "eval_steps_per_second": 64.757,
      "step": 5600
    },
    {
      "epoch": 2.77,
      "learning_rate": 3.61431870669746e-05,
      "loss": 0.5473,
      "step": 6000
    },
    {
      "epoch": 2.77,
      "eval_accuracy": 0.7291533946990967,
      "eval_loss": 0.6873072981834412,
      "eval_runtime": 12.137,
      "eval_samples_per_second": 517.754,
      "eval_steps_per_second": 64.76,
      "step": 6000
    }
  ],
  "max_steps": 21650,
  "num_train_epochs": 10,
  "total_flos": 6.009814387289088e+16,
  "trial_name": null,
  "trial_params": null
}