File size: 4,733 Bytes
268ca2f
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
{
  "best_metric": 1.0523593425750732,
  "best_model_checkpoint": "./output/clip-finetuned-csu-p14-336-e4l58-l/checkpoint-5000",
  "epoch": 0.9209799226376865,
  "eval_steps": 500,
  "global_step": 5000,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 0.09209799226376865,
      "grad_norm": 0.0014697719598188996,
      "learning_rate": 4.884877509670289e-08,
      "loss": 0.4588,
      "step": 500
    },
    {
      "epoch": 0.09209799226376865,
      "eval_loss": 1.4194883108139038,
      "eval_runtime": 78.7703,
      "eval_samples_per_second": 15.31,
      "eval_steps_per_second": 1.917,
      "step": 500
    },
    {
      "epoch": 0.1841959845275373,
      "grad_norm": 301.76043701171875,
      "learning_rate": 4.769755019340578e-08,
      "loss": 0.4255,
      "step": 1000
    },
    {
      "epoch": 0.1841959845275373,
      "eval_loss": 1.3416553735733032,
      "eval_runtime": 77.0051,
      "eval_samples_per_second": 15.661,
      "eval_steps_per_second": 1.961,
      "step": 1000
    },
    {
      "epoch": 0.27629397679130596,
      "grad_norm": 35.28853225708008,
      "learning_rate": 4.654632529010867e-08,
      "loss": 0.3724,
      "step": 1500
    },
    {
      "epoch": 0.27629397679130596,
      "eval_loss": 1.2872973680496216,
      "eval_runtime": 77.5439,
      "eval_samples_per_second": 15.552,
      "eval_steps_per_second": 1.947,
      "step": 1500
    },
    {
      "epoch": 0.3683919690550746,
      "grad_norm": 338.9349060058594,
      "learning_rate": 4.539510038681156e-08,
      "loss": 0.3251,
      "step": 2000
    },
    {
      "epoch": 0.3683919690550746,
      "eval_loss": 1.234910249710083,
      "eval_runtime": 78.7715,
      "eval_samples_per_second": 15.31,
      "eval_steps_per_second": 1.917,
      "step": 2000
    },
    {
      "epoch": 0.46048996131884323,
      "grad_norm": 325.85101318359375,
      "learning_rate": 4.4243875483514457e-08,
      "loss": 0.3308,
      "step": 2500
    },
    {
      "epoch": 0.46048996131884323,
      "eval_loss": 1.1944907903671265,
      "eval_runtime": 79.0397,
      "eval_samples_per_second": 15.258,
      "eval_steps_per_second": 1.91,
      "step": 2500
    },
    {
      "epoch": 0.5525879535826119,
      "grad_norm": 100.85855102539062,
      "learning_rate": 4.309265058021735e-08,
      "loss": 0.3017,
      "step": 3000
    },
    {
      "epoch": 0.5525879535826119,
      "eval_loss": 1.1593009233474731,
      "eval_runtime": 77.6354,
      "eval_samples_per_second": 15.534,
      "eval_steps_per_second": 1.945,
      "step": 3000
    },
    {
      "epoch": 0.6446859458463805,
      "grad_norm": 8.865598678588867,
      "learning_rate": 4.194142567692024e-08,
      "loss": 0.2962,
      "step": 3500
    },
    {
      "epoch": 0.6446859458463805,
      "eval_loss": 1.1259427070617676,
      "eval_runtime": 78.2715,
      "eval_samples_per_second": 15.408,
      "eval_steps_per_second": 1.929,
      "step": 3500
    },
    {
      "epoch": 0.7367839381101492,
      "grad_norm": 4.393447399139404,
      "learning_rate": 4.079020077362314e-08,
      "loss": 0.2919,
      "step": 4000
    },
    {
      "epoch": 0.7367839381101492,
      "eval_loss": 1.0954023599624634,
      "eval_runtime": 78.5366,
      "eval_samples_per_second": 15.356,
      "eval_steps_per_second": 1.923,
      "step": 4000
    },
    {
      "epoch": 0.8288819303739179,
      "grad_norm": 1.6036031246185303,
      "learning_rate": 3.9638975870326026e-08,
      "loss": 0.307,
      "step": 4500
    },
    {
      "epoch": 0.8288819303739179,
      "eval_loss": 1.0728861093521118,
      "eval_runtime": 78.4032,
      "eval_samples_per_second": 15.382,
      "eval_steps_per_second": 1.926,
      "step": 4500
    },
    {
      "epoch": 0.9209799226376865,
      "grad_norm": 11.990758895874023,
      "learning_rate": 3.8487750967028915e-08,
      "loss": 0.2764,
      "step": 5000
    },
    {
      "epoch": 0.9209799226376865,
      "eval_loss": 1.0523593425750732,
      "eval_runtime": 78.3726,
      "eval_samples_per_second": 15.388,
      "eval_steps_per_second": 1.927,
      "step": 5000
    }
  ],
  "logging_steps": 500,
  "max_steps": 21716,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 4,
  "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": 1799511273002520.0,
  "train_batch_size": 2,
  "trial_name": null,
  "trial_params": null
}