File size: 6,645 Bytes
0c5754e
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
{
  "best_metric": 0.8291605301914581,
  "best_model_checkpoint": "vit-base-patch16-224-finetuned-traffic/checkpoint-143",
  "epoch": 4.9214659685863875,
  "eval_steps": 500,
  "global_step": 235,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.2094240837696335,
      "grad_norm": 2.4012229442596436,
      "learning_rate": 2.0833333333333336e-05,
      "loss": 1.2731,
      "step": 10
    },
    {
      "epoch": 0.418848167539267,
      "grad_norm": 1.9113624095916748,
      "learning_rate": 4.166666666666667e-05,
      "loss": 0.9879,
      "step": 20
    },
    {
      "epoch": 0.6282722513089005,
      "grad_norm": 1.7040202617645264,
      "learning_rate": 4.857819905213271e-05,
      "loss": 0.762,
      "step": 30
    },
    {
      "epoch": 0.837696335078534,
      "grad_norm": 1.6665043830871582,
      "learning_rate": 4.620853080568721e-05,
      "loss": 0.6282,
      "step": 40
    },
    {
      "epoch": 0.9842931937172775,
      "eval_accuracy": 0.7643593519882179,
      "eval_f1": 0.6525442813120799,
      "eval_loss": 0.5724892020225525,
      "eval_precision": 0.7933178666588052,
      "eval_recall": 0.5918231315905315,
      "eval_runtime": 8.8153,
      "eval_samples_per_second": 77.025,
      "eval_steps_per_second": 2.496,
      "step": 47
    },
    {
      "epoch": 1.0471204188481675,
      "grad_norm": 1.8398358821868896,
      "learning_rate": 4.383886255924171e-05,
      "loss": 0.5637,
      "step": 50
    },
    {
      "epoch": 1.256544502617801,
      "grad_norm": 1.4762039184570312,
      "learning_rate": 4.146919431279621e-05,
      "loss": 0.4938,
      "step": 60
    },
    {
      "epoch": 1.4659685863874345,
      "grad_norm": 2.8683714866638184,
      "learning_rate": 3.909952606635071e-05,
      "loss": 0.477,
      "step": 70
    },
    {
      "epoch": 1.675392670157068,
      "grad_norm": 1.5742051601409912,
      "learning_rate": 3.672985781990522e-05,
      "loss": 0.4335,
      "step": 80
    },
    {
      "epoch": 1.8848167539267016,
      "grad_norm": 2.7039575576782227,
      "learning_rate": 3.4360189573459716e-05,
      "loss": 0.4486,
      "step": 90
    },
    {
      "epoch": 1.9895287958115184,
      "eval_accuracy": 0.801178203240059,
      "eval_f1": 0.7213482384744982,
      "eval_loss": 0.46302151679992676,
      "eval_precision": 0.7964021663408166,
      "eval_recall": 0.682381066062999,
      "eval_runtime": 8.91,
      "eval_samples_per_second": 76.206,
      "eval_steps_per_second": 2.469,
      "step": 95
    },
    {
      "epoch": 2.094240837696335,
      "grad_norm": 2.257824182510376,
      "learning_rate": 3.1990521327014215e-05,
      "loss": 0.3847,
      "step": 100
    },
    {
      "epoch": 2.303664921465969,
      "grad_norm": 1.9415006637573242,
      "learning_rate": 2.962085308056872e-05,
      "loss": 0.3028,
      "step": 110
    },
    {
      "epoch": 2.513089005235602,
      "grad_norm": 1.7105799913406372,
      "learning_rate": 2.7251184834123224e-05,
      "loss": 0.3271,
      "step": 120
    },
    {
      "epoch": 2.7225130890052354,
      "grad_norm": 2.8020598888397217,
      "learning_rate": 2.4881516587677726e-05,
      "loss": 0.3494,
      "step": 130
    },
    {
      "epoch": 2.931937172774869,
      "grad_norm": 1.7589322328567505,
      "learning_rate": 2.251184834123223e-05,
      "loss": 0.3285,
      "step": 140
    },
    {
      "epoch": 2.994764397905759,
      "eval_accuracy": 0.8291605301914581,
      "eval_f1": 0.7721255592297218,
      "eval_loss": 0.4393855333328247,
      "eval_precision": 0.823206019483298,
      "eval_recall": 0.7366059517474952,
      "eval_runtime": 9.0269,
      "eval_samples_per_second": 75.219,
      "eval_steps_per_second": 2.437,
      "step": 143
    },
    {
      "epoch": 3.141361256544503,
      "grad_norm": 1.3418846130371094,
      "learning_rate": 2.014218009478673e-05,
      "loss": 0.2621,
      "step": 150
    },
    {
      "epoch": 3.350785340314136,
      "grad_norm": 1.225538969039917,
      "learning_rate": 1.7772511848341233e-05,
      "loss": 0.2541,
      "step": 160
    },
    {
      "epoch": 3.5602094240837694,
      "grad_norm": 1.6284271478652954,
      "learning_rate": 1.5402843601895736e-05,
      "loss": 0.2234,
      "step": 170
    },
    {
      "epoch": 3.769633507853403,
      "grad_norm": 1.5704679489135742,
      "learning_rate": 1.3033175355450238e-05,
      "loss": 0.2444,
      "step": 180
    },
    {
      "epoch": 3.979057591623037,
      "grad_norm": 1.8943076133728027,
      "learning_rate": 1.066350710900474e-05,
      "loss": 0.2391,
      "step": 190
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.8114874815905744,
      "eval_f1": 0.7554988545936505,
      "eval_loss": 0.43024498224258423,
      "eval_precision": 0.7941367088101344,
      "eval_recall": 0.7332808654662242,
      "eval_runtime": 8.9879,
      "eval_samples_per_second": 75.546,
      "eval_steps_per_second": 2.448,
      "step": 191
    },
    {
      "epoch": 4.18848167539267,
      "grad_norm": 2.159135580062866,
      "learning_rate": 8.293838862559241e-06,
      "loss": 0.187,
      "step": 200
    },
    {
      "epoch": 4.397905759162303,
      "grad_norm": 1.2371037006378174,
      "learning_rate": 5.924170616113745e-06,
      "loss": 0.1948,
      "step": 210
    },
    {
      "epoch": 4.607329842931938,
      "grad_norm": 1.2540051937103271,
      "learning_rate": 3.5545023696682464e-06,
      "loss": 0.1777,
      "step": 220
    },
    {
      "epoch": 4.816753926701571,
      "grad_norm": 1.5002622604370117,
      "learning_rate": 1.1848341232227488e-06,
      "loss": 0.1814,
      "step": 230
    },
    {
      "epoch": 4.9214659685863875,
      "eval_accuracy": 0.8217967599410898,
      "eval_f1": 0.7631453012448455,
      "eval_loss": 0.43649259209632874,
      "eval_precision": 0.7993023457173745,
      "eval_recall": 0.7362480354321321,
      "eval_runtime": 9.0379,
      "eval_samples_per_second": 75.128,
      "eval_steps_per_second": 2.434,
      "step": 235
    },
    {
      "epoch": 4.9214659685863875,
      "step": 235,
      "total_flos": 2.328211069271507e+18,
      "train_loss": 0.4179329159411978,
      "train_runtime": 724.011,
      "train_samples_per_second": 42.147,
      "train_steps_per_second": 0.325
    }
  ],
  "logging_steps": 10,
  "max_steps": 235,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 5,
  "save_steps": 500,
  "total_flos": 2.328211069271507e+18,
  "train_batch_size": 32,
  "trial_name": null,
  "trial_params": null
}