grammar-anarchist
commited on
Commit
•
43fb6a6
1
Parent(s):
a1fa2c6
Upload trainer_state.json with huggingface_hub
Browse files- trainer_state.json +262 -0
trainer_state.json
ADDED
@@ -0,0 +1,262 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.08392839133739471,
|
3 |
+
"best_model_checkpoint": "./models/results_funlines_and_human_microedit_paper_2023_693/checkpoint-200",
|
4 |
+
"epoch": 0.774818401937046,
|
5 |
+
"global_step": 200,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.03,
|
12 |
+
"learning_rate": 4.000000000000001e-06,
|
13 |
+
"loss": 0.6859,
|
14 |
+
"step": 8
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.06,
|
18 |
+
"learning_rate": 8.000000000000001e-06,
|
19 |
+
"loss": 0.6827,
|
20 |
+
"step": 16
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.09,
|
24 |
+
"learning_rate": 1.2e-05,
|
25 |
+
"loss": 0.6877,
|
26 |
+
"step": 24
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.1,
|
30 |
+
"eval_accuracy": 0.5563559322033899,
|
31 |
+
"eval_f1": 0.7149469098829294,
|
32 |
+
"eval_loss": 0.6760356426239014,
|
33 |
+
"eval_precision": 0.5563559322033899,
|
34 |
+
"eval_recall": 1.0,
|
35 |
+
"eval_runtime": 15.2381,
|
36 |
+
"eval_samples_per_second": 154.875,
|
37 |
+
"eval_steps_per_second": 19.359,
|
38 |
+
"step": 25
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.12,
|
42 |
+
"learning_rate": 1.6000000000000003e-05,
|
43 |
+
"loss": 0.6647,
|
44 |
+
"step": 32
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.15,
|
48 |
+
"learning_rate": 2e-05,
|
49 |
+
"loss": 0.543,
|
50 |
+
"step": 40
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.19,
|
54 |
+
"learning_rate": 2.4e-05,
|
55 |
+
"loss": 0.3736,
|
56 |
+
"step": 48
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.19,
|
60 |
+
"eval_accuracy": 0.8635593220338983,
|
61 |
+
"eval_f1": 0.8649328859060402,
|
62 |
+
"eval_loss": 0.31369638442993164,
|
63 |
+
"eval_precision": 0.9626517273576097,
|
64 |
+
"eval_recall": 0.7852246763137852,
|
65 |
+
"eval_runtime": 15.1929,
|
66 |
+
"eval_samples_per_second": 155.336,
|
67 |
+
"eval_steps_per_second": 19.417,
|
68 |
+
"step": 50
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.22,
|
72 |
+
"learning_rate": 2.8000000000000003e-05,
|
73 |
+
"loss": 0.3738,
|
74 |
+
"step": 56
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 0.25,
|
78 |
+
"learning_rate": 3.2000000000000005e-05,
|
79 |
+
"loss": 0.2697,
|
80 |
+
"step": 64
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.28,
|
84 |
+
"learning_rate": 3.6e-05,
|
85 |
+
"loss": 0.1821,
|
86 |
+
"step": 72
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.29,
|
90 |
+
"eval_accuracy": 0.9555084745762712,
|
91 |
+
"eval_f1": 0.9600608596424496,
|
92 |
+
"eval_loss": 0.13926365971565247,
|
93 |
+
"eval_precision": 0.958966565349544,
|
94 |
+
"eval_recall": 0.9611576542269612,
|
95 |
+
"eval_runtime": 15.1835,
|
96 |
+
"eval_samples_per_second": 155.432,
|
97 |
+
"eval_steps_per_second": 19.429,
|
98 |
+
"step": 75
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 0.31,
|
102 |
+
"learning_rate": 3.9000000000000006e-05,
|
103 |
+
"loss": 0.1583,
|
104 |
+
"step": 80
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 0.34,
|
108 |
+
"learning_rate": 4.3e-05,
|
109 |
+
"loss": 0.1845,
|
110 |
+
"step": 88
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 0.37,
|
114 |
+
"learning_rate": 4.7e-05,
|
115 |
+
"loss": 0.1605,
|
116 |
+
"step": 96
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 0.39,
|
120 |
+
"eval_accuracy": 0.9593220338983051,
|
121 |
+
"eval_f1": 0.9625,
|
122 |
+
"eval_loss": 0.13289286196231842,
|
123 |
+
"eval_precision": 0.9879711307137129,
|
124 |
+
"eval_recall": 0.9383092155369384,
|
125 |
+
"eval_runtime": 15.1752,
|
126 |
+
"eval_samples_per_second": 155.517,
|
127 |
+
"eval_steps_per_second": 19.44,
|
128 |
+
"step": 100
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.4,
|
132 |
+
"learning_rate": 4.936708860759494e-05,
|
133 |
+
"loss": 0.1174,
|
134 |
+
"step": 104
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 0.43,
|
138 |
+
"learning_rate": 4.683544303797468e-05,
|
139 |
+
"loss": 0.1111,
|
140 |
+
"step": 112
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 0.46,
|
144 |
+
"learning_rate": 4.430379746835443e-05,
|
145 |
+
"loss": 0.158,
|
146 |
+
"step": 120
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 0.48,
|
150 |
+
"eval_accuracy": 0.9567796610169491,
|
151 |
+
"eval_f1": 0.9617977528089888,
|
152 |
+
"eval_loss": 0.11806055903434753,
|
153 |
+
"eval_precision": 0.94620486366986,
|
154 |
+
"eval_recall": 0.9779131759329779,
|
155 |
+
"eval_runtime": 15.1814,
|
156 |
+
"eval_samples_per_second": 155.454,
|
157 |
+
"eval_steps_per_second": 19.432,
|
158 |
+
"step": 125
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 0.5,
|
162 |
+
"learning_rate": 4.177215189873418e-05,
|
163 |
+
"loss": 0.1373,
|
164 |
+
"step": 128
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 0.53,
|
168 |
+
"learning_rate": 3.924050632911392e-05,
|
169 |
+
"loss": 0.1306,
|
170 |
+
"step": 136
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.56,
|
174 |
+
"learning_rate": 3.670886075949367e-05,
|
175 |
+
"loss": 0.1261,
|
176 |
+
"step": 144
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 0.58,
|
180 |
+
"eval_accuracy": 0.9669491525423729,
|
181 |
+
"eval_f1": 0.9698841698841698,
|
182 |
+
"eval_loss": 0.09348666667938232,
|
183 |
+
"eval_precision": 0.9835552075176194,
|
184 |
+
"eval_recall": 0.9565879664889566,
|
185 |
+
"eval_runtime": 15.1738,
|
186 |
+
"eval_samples_per_second": 155.531,
|
187 |
+
"eval_steps_per_second": 19.441,
|
188 |
+
"step": 150
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 0.59,
|
192 |
+
"learning_rate": 3.4177215189873416e-05,
|
193 |
+
"loss": 0.1048,
|
194 |
+
"step": 152
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 0.62,
|
198 |
+
"learning_rate": 3.1645569620253167e-05,
|
199 |
+
"loss": 0.1109,
|
200 |
+
"step": 160
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 0.65,
|
204 |
+
"learning_rate": 2.9113924050632914e-05,
|
205 |
+
"loss": 0.0743,
|
206 |
+
"step": 168
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 0.68,
|
210 |
+
"eval_accuracy": 0.9703389830508474,
|
211 |
+
"eval_f1": 0.9728682170542636,
|
212 |
+
"eval_loss": 0.10754456371068954,
|
213 |
+
"eval_precision": 0.9905288082083662,
|
214 |
+
"eval_recall": 0.9558263518659559,
|
215 |
+
"eval_runtime": 15.1659,
|
216 |
+
"eval_samples_per_second": 155.612,
|
217 |
+
"eval_steps_per_second": 19.451,
|
218 |
+
"step": 175
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 0.68,
|
222 |
+
"learning_rate": 2.6582278481012658e-05,
|
223 |
+
"loss": 0.1677,
|
224 |
+
"step": 176
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 0.71,
|
228 |
+
"learning_rate": 2.4050632911392405e-05,
|
229 |
+
"loss": 0.0963,
|
230 |
+
"step": 184
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 0.74,
|
234 |
+
"learning_rate": 2.1518987341772153e-05,
|
235 |
+
"loss": 0.0954,
|
236 |
+
"step": 192
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"epoch": 0.77,
|
240 |
+
"learning_rate": 1.89873417721519e-05,
|
241 |
+
"loss": 0.1263,
|
242 |
+
"step": 200
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 0.77,
|
246 |
+
"eval_accuracy": 0.9699152542372881,
|
247 |
+
"eval_f1": 0.9728904161893853,
|
248 |
+
"eval_loss": 0.08392839133739471,
|
249 |
+
"eval_precision": 0.9754977029096478,
|
250 |
+
"eval_recall": 0.9702970297029703,
|
251 |
+
"eval_runtime": 15.2112,
|
252 |
+
"eval_samples_per_second": 155.148,
|
253 |
+
"eval_steps_per_second": 19.394,
|
254 |
+
"step": 200
|
255 |
+
}
|
256 |
+
],
|
257 |
+
"max_steps": 258,
|
258 |
+
"num_train_epochs": 1,
|
259 |
+
"total_flos": 289422160896000.0,
|
260 |
+
"trial_name": null,
|
261 |
+
"trial_params": null
|
262 |
+
}
|