File size: 5,084 Bytes
2208b91
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
{
  "best_metric": 0.706896551724138,
  "best_model_checkpoint": "outputs/bert-base-multilingual-cased-twitter-indonesia-sarcastic/checkpoint-354",
  "epoch": 9.0,
  "eval_steps": 500,
  "global_step": 531,
  "is_hyper_param_search": false,
  "is_local_process_zero": true,
  "is_world_process_zero": true,
  "log_history": [
    {
      "epoch": 1.0,
      "learning_rate": 9.99761572031246e-06,
      "loss": 0.5333,
      "step": 59
    },
    {
      "epoch": 1.0,
      "eval_accuracy": 0.75,
      "eval_f1": 0.0,
      "eval_loss": 0.47915688157081604,
      "eval_precision": 0.0,
      "eval_recall": 0.0,
      "eval_runtime": 1.0725,
      "eval_samples_per_second": 249.878,
      "eval_steps_per_second": 4.662,
      "step": 59
    },
    {
      "epoch": 2.0,
      "learning_rate": 9.990465155165683e-06,
      "loss": 0.4642,
      "step": 118
    },
    {
      "epoch": 2.0,
      "eval_accuracy": 0.7910447761194029,
      "eval_f1": 0.3,
      "eval_loss": 0.4418473243713379,
      "eval_precision": 0.9230769230769231,
      "eval_recall": 0.1791044776119403,
      "eval_runtime": 1.0651,
      "eval_samples_per_second": 251.625,
      "eval_steps_per_second": 4.694,
      "step": 118
    },
    {
      "epoch": 3.0,
      "learning_rate": 9.978555124138569e-06,
      "loss": 0.3961,
      "step": 177
    },
    {
      "epoch": 3.0,
      "eval_accuracy": 0.8134328358208955,
      "eval_f1": 0.5192307692307693,
      "eval_loss": 0.4319072365760803,
      "eval_precision": 0.7297297297297297,
      "eval_recall": 0.40298507462686567,
      "eval_runtime": 1.0672,
      "eval_samples_per_second": 251.127,
      "eval_steps_per_second": 4.685,
      "step": 177
    },
    {
      "epoch": 4.0,
      "learning_rate": 9.961568226140335e-06,
      "loss": 0.325,
      "step": 236
    },
    {
      "epoch": 4.0,
      "eval_accuracy": 0.746268656716418,
      "eval_f1": 0.6179775280898877,
      "eval_loss": 0.5264418721199036,
      "eval_precision": 0.4954954954954955,
      "eval_recall": 0.8208955223880597,
      "eval_runtime": 1.0669,
      "eval_samples_per_second": 251.206,
      "eval_steps_per_second": 4.687,
      "step": 236
    },
    {
      "epoch": 5.0,
      "learning_rate": 9.93968485932029e-06,
      "loss": 0.2432,
      "step": 295
    },
    {
      "epoch": 5.0,
      "eval_accuracy": 0.8246268656716418,
      "eval_f1": 0.6299212598425197,
      "eval_loss": 0.4624307453632355,
      "eval_precision": 0.6666666666666666,
      "eval_recall": 0.5970149253731343,
      "eval_runtime": 1.064,
      "eval_samples_per_second": 251.884,
      "eval_steps_per_second": 4.699,
      "step": 295
    },
    {
      "epoch": 6.0,
      "learning_rate": 9.912926619919478e-06,
      "loss": 0.1819,
      "step": 354
    },
    {
      "epoch": 6.0,
      "eval_accuracy": 0.8731343283582089,
      "eval_f1": 0.706896551724138,
      "eval_loss": 0.42611974477767944,
      "eval_precision": 0.8367346938775511,
      "eval_recall": 0.6119402985074627,
      "eval_runtime": 1.0705,
      "eval_samples_per_second": 250.352,
      "eval_steps_per_second": 4.671,
      "step": 354
    },
    {
      "epoch": 7.0,
      "learning_rate": 9.881319915089625e-06,
      "loss": 0.148,
      "step": 413
    },
    {
      "epoch": 7.0,
      "eval_accuracy": 0.8544776119402985,
      "eval_f1": 0.6776859504132231,
      "eval_loss": 0.5371143817901611,
      "eval_precision": 0.7592592592592593,
      "eval_recall": 0.6119402985074627,
      "eval_runtime": 1.0641,
      "eval_samples_per_second": 251.866,
      "eval_steps_per_second": 4.699,
      "step": 413
    },
    {
      "epoch": 8.0,
      "learning_rate": 9.844895936832474e-06,
      "loss": 0.0995,
      "step": 472
    },
    {
      "epoch": 8.0,
      "eval_accuracy": 0.8395522388059702,
      "eval_f1": 0.6766917293233083,
      "eval_loss": 0.6810328364372253,
      "eval_precision": 0.6818181818181818,
      "eval_recall": 0.6716417910447762,
      "eval_runtime": 1.0652,
      "eval_samples_per_second": 251.603,
      "eval_steps_per_second": 4.694,
      "step": 472
    },
    {
      "epoch": 9.0,
      "learning_rate": 9.803690631217043e-06,
      "loss": 0.0843,
      "step": 531
    },
    {
      "epoch": 9.0,
      "eval_accuracy": 0.8208955223880597,
      "eval_f1": 0.5384615384615384,
      "eval_loss": 0.8350497484207153,
      "eval_precision": 0.7567567567567568,
      "eval_recall": 0.417910447761194,
      "eval_runtime": 1.0631,
      "eval_samples_per_second": 252.096,
      "eval_steps_per_second": 4.703,
      "step": 531
    },
    {
      "epoch": 9.0,
      "step": 531,
      "total_flos": 1111775764423680.0,
      "train_loss": 0.2750625179312323,
      "train_runtime": 261.0331,
      "train_samples_per_second": 719.449,
      "train_steps_per_second": 22.602
    }
  ],
  "logging_steps": 500,
  "max_steps": 5900,
  "num_input_tokens_seen": 0,
  "num_train_epochs": 100,
  "save_steps": 500,
  "total_flos": 1111775764423680.0,
  "train_batch_size": 32,
  "trial_name": null,
  "trial_params": null
}