End of training
Browse files- README.md +6 -4
- all_results.json +14 -0
- runs/Aug03_01-58-42_fb30e5d7f048/events.out.tfevents.1722654877.fb30e5d7f048.54.1 +3 -0
- test_results.json +9 -0
- trainer_state.json +384 -0
- training_results.json +8 -0
README.md
CHANGED
@@ -2,6 +2,8 @@
|
|
2 |
license: apache-2.0
|
3 |
base_model: microsoft/swinv2-tiny-patch4-window8-256
|
4 |
tags:
|
|
|
|
|
5 |
- generated_from_trainer
|
6 |
datasets:
|
7 |
- generator
|
@@ -15,11 +17,11 @@ should probably proofread and complete it, then remove this comment. -->
|
|
15 |
|
16 |
# swinv2-tiny-panorama-IQA
|
17 |
|
18 |
-
This model is a fine-tuned version of [microsoft/swinv2-tiny-patch4-window8-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window8-256) on the
|
19 |
It achieves the following results on the evaluation set:
|
20 |
-
- Loss: 0.
|
21 |
-
- Srocc: 0.
|
22 |
-
- Lcc: 0.
|
23 |
|
24 |
## Model description
|
25 |
|
|
|
2 |
license: apache-2.0
|
3 |
base_model: microsoft/swinv2-tiny-patch4-window8-256
|
4 |
tags:
|
5 |
+
- image-classification
|
6 |
+
- vision
|
7 |
- generated_from_trainer
|
8 |
datasets:
|
9 |
- generator
|
|
|
17 |
|
18 |
# swinv2-tiny-panorama-IQA
|
19 |
|
20 |
+
This model is a fine-tuned version of [microsoft/swinv2-tiny-patch4-window8-256](https://huggingface.co/microsoft/swinv2-tiny-patch4-window8-256) on the isiqa-2019-hf dataset.
|
21 |
It achieves the following results on the evaluation set:
|
22 |
+
- Loss: 0.0175
|
23 |
+
- Srocc: 0.2288
|
24 |
+
- Lcc: 0.4304
|
25 |
|
26 |
## Model description
|
27 |
|
all_results.json
ADDED
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 26.857142857142858,
|
3 |
+
"eval_LCC": 0.43043752892141784,
|
4 |
+
"eval_SROCC": 0.2288115246098439,
|
5 |
+
"eval_loss": 0.017509404569864273,
|
6 |
+
"eval_runtime": 35.0059,
|
7 |
+
"eval_samples_per_second": 1.428,
|
8 |
+
"eval_steps_per_second": 0.057,
|
9 |
+
"total_flos": 7.519124344516116e+17,
|
10 |
+
"train_loss": 0.028724998592379244,
|
11 |
+
"train_runtime": 4511.5827,
|
12 |
+
"train_samples_per_second": 2.372,
|
13 |
+
"train_steps_per_second": 0.033
|
14 |
+
}
|
runs/Aug03_01-58-42_fb30e5d7f048/events.out.tfevents.1722654877.fb30e5d7f048.54.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f437e5e42e8596c7626746fa56eddad1cbd9a8037dc05c135f4b4804374aa84d
|
3 |
+
size 448
|
test_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 26.857142857142858,
|
3 |
+
"eval_LCC": 0.43043752892141784,
|
4 |
+
"eval_SROCC": 0.2288115246098439,
|
5 |
+
"eval_loss": 0.017509404569864273,
|
6 |
+
"eval_runtime": 35.0059,
|
7 |
+
"eval_samples_per_second": 1.428,
|
8 |
+
"eval_steps_per_second": 0.057
|
9 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,384 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.017509404569864273,
|
3 |
+
"best_model_checkpoint": "/kaggle/working/output/checkpoint-77",
|
4 |
+
"epoch": 26.857142857142858,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 94,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.8571428571428571,
|
13 |
+
"eval_LCC": 0.1969856506206926,
|
14 |
+
"eval_SROCC": 0.10444177671068428,
|
15 |
+
"eval_loss": 0.14835341274738312,
|
16 |
+
"eval_runtime": 35.5463,
|
17 |
+
"eval_samples_per_second": 1.407,
|
18 |
+
"eval_steps_per_second": 0.056,
|
19 |
+
"step": 3
|
20 |
+
},
|
21 |
+
{
|
22 |
+
"epoch": 2.0,
|
23 |
+
"eval_LCC": 0.1712787386505908,
|
24 |
+
"eval_SROCC": 0.11068427370948379,
|
25 |
+
"eval_loss": 0.0292142815887928,
|
26 |
+
"eval_runtime": 34.8973,
|
27 |
+
"eval_samples_per_second": 1.433,
|
28 |
+
"eval_steps_per_second": 0.057,
|
29 |
+
"step": 7
|
30 |
+
},
|
31 |
+
{
|
32 |
+
"epoch": 2.857142857142857,
|
33 |
+
"grad_norm": 7.9004807472229,
|
34 |
+
"learning_rate": 1.3333333333333333e-05,
|
35 |
+
"loss": 0.1442,
|
36 |
+
"step": 10
|
37 |
+
},
|
38 |
+
{
|
39 |
+
"epoch": 2.857142857142857,
|
40 |
+
"eval_LCC": 0.11784921848546775,
|
41 |
+
"eval_SROCC": 0.027899159663865542,
|
42 |
+
"eval_loss": 0.05484883487224579,
|
43 |
+
"eval_runtime": 35.127,
|
44 |
+
"eval_samples_per_second": 1.423,
|
45 |
+
"eval_steps_per_second": 0.057,
|
46 |
+
"step": 10
|
47 |
+
},
|
48 |
+
{
|
49 |
+
"epoch": 4.0,
|
50 |
+
"eval_LCC": 0.06886859888985782,
|
51 |
+
"eval_SROCC": -0.06276110444177671,
|
52 |
+
"eval_loss": 0.030970515683293343,
|
53 |
+
"eval_runtime": 34.9536,
|
54 |
+
"eval_samples_per_second": 1.43,
|
55 |
+
"eval_steps_per_second": 0.057,
|
56 |
+
"step": 14
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 4.857142857142857,
|
60 |
+
"eval_LCC": 0.0550252891230114,
|
61 |
+
"eval_SROCC": -0.06180072028811524,
|
62 |
+
"eval_loss": 0.04757826402783394,
|
63 |
+
"eval_runtime": 35.0545,
|
64 |
+
"eval_samples_per_second": 1.426,
|
65 |
+
"eval_steps_per_second": 0.057,
|
66 |
+
"step": 17
|
67 |
+
},
|
68 |
+
{
|
69 |
+
"epoch": 5.714285714285714,
|
70 |
+
"grad_norm": 2.093867301940918,
|
71 |
+
"learning_rate": 1.925925925925926e-05,
|
72 |
+
"loss": 0.0425,
|
73 |
+
"step": 20
|
74 |
+
},
|
75 |
+
{
|
76 |
+
"epoch": 6.0,
|
77 |
+
"eval_LCC": 0.005142275506506862,
|
78 |
+
"eval_SROCC": -0.09781512605042017,
|
79 |
+
"eval_loss": 0.029744217172265053,
|
80 |
+
"eval_runtime": 34.9107,
|
81 |
+
"eval_samples_per_second": 1.432,
|
82 |
+
"eval_steps_per_second": 0.057,
|
83 |
+
"step": 21
|
84 |
+
},
|
85 |
+
{
|
86 |
+
"epoch": 6.857142857142857,
|
87 |
+
"eval_LCC": -0.0038686428258717766,
|
88 |
+
"eval_SROCC": -0.09061224489795917,
|
89 |
+
"eval_loss": 0.025907116010785103,
|
90 |
+
"eval_runtime": 34.9938,
|
91 |
+
"eval_samples_per_second": 1.429,
|
92 |
+
"eval_steps_per_second": 0.057,
|
93 |
+
"step": 24
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 8.0,
|
97 |
+
"eval_LCC": 0.007887024520170878,
|
98 |
+
"eval_SROCC": -0.027034813925570226,
|
99 |
+
"eval_loss": 0.029399558901786804,
|
100 |
+
"eval_runtime": 34.9296,
|
101 |
+
"eval_samples_per_second": 1.431,
|
102 |
+
"eval_steps_per_second": 0.057,
|
103 |
+
"step": 28
|
104 |
+
},
|
105 |
+
{
|
106 |
+
"epoch": 8.571428571428571,
|
107 |
+
"grad_norm": 1.0898091793060303,
|
108 |
+
"learning_rate": 1.7777777777777777e-05,
|
109 |
+
"loss": 0.0242,
|
110 |
+
"step": 30
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 8.857142857142858,
|
114 |
+
"eval_LCC": 0.032333468238550225,
|
115 |
+
"eval_SROCC": -0.014645858343337334,
|
116 |
+
"eval_loss": 0.023686964064836502,
|
117 |
+
"eval_runtime": 35.0539,
|
118 |
+
"eval_samples_per_second": 1.426,
|
119 |
+
"eval_steps_per_second": 0.057,
|
120 |
+
"step": 31
|
121 |
+
},
|
122 |
+
{
|
123 |
+
"epoch": 10.0,
|
124 |
+
"eval_LCC": 0.08086510887243141,
|
125 |
+
"eval_SROCC": 0.015222088835534215,
|
126 |
+
"eval_loss": 0.02260431833565235,
|
127 |
+
"eval_runtime": 35.1001,
|
128 |
+
"eval_samples_per_second": 1.424,
|
129 |
+
"eval_steps_per_second": 0.057,
|
130 |
+
"step": 35
|
131 |
+
},
|
132 |
+
{
|
133 |
+
"epoch": 10.857142857142858,
|
134 |
+
"eval_LCC": 0.11583787359004848,
|
135 |
+
"eval_SROCC": 0.03385354141656663,
|
136 |
+
"eval_loss": 0.023615412414073944,
|
137 |
+
"eval_runtime": 34.9014,
|
138 |
+
"eval_samples_per_second": 1.433,
|
139 |
+
"eval_steps_per_second": 0.057,
|
140 |
+
"step": 38
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 11.428571428571429,
|
144 |
+
"grad_norm": 0.41205185651779175,
|
145 |
+
"learning_rate": 1.6296296296296297e-05,
|
146 |
+
"loss": 0.0146,
|
147 |
+
"step": 40
|
148 |
+
},
|
149 |
+
{
|
150 |
+
"epoch": 12.0,
|
151 |
+
"eval_LCC": 0.17529865995122038,
|
152 |
+
"eval_SROCC": 0.05623049219687875,
|
153 |
+
"eval_loss": 0.021260255947709084,
|
154 |
+
"eval_runtime": 34.8745,
|
155 |
+
"eval_samples_per_second": 1.434,
|
156 |
+
"eval_steps_per_second": 0.057,
|
157 |
+
"step": 42
|
158 |
+
},
|
159 |
+
{
|
160 |
+
"epoch": 12.857142857142858,
|
161 |
+
"eval_LCC": 0.22410038594433127,
|
162 |
+
"eval_SROCC": 0.06775510204081632,
|
163 |
+
"eval_loss": 0.019894730299711227,
|
164 |
+
"eval_runtime": 34.9972,
|
165 |
+
"eval_samples_per_second": 1.429,
|
166 |
+
"eval_steps_per_second": 0.057,
|
167 |
+
"step": 45
|
168 |
+
},
|
169 |
+
{
|
170 |
+
"epoch": 14.0,
|
171 |
+
"eval_LCC": 0.27017897046913114,
|
172 |
+
"eval_SROCC": 0.0981032412965186,
|
173 |
+
"eval_loss": 0.020490916445851326,
|
174 |
+
"eval_runtime": 34.9294,
|
175 |
+
"eval_samples_per_second": 1.431,
|
176 |
+
"eval_steps_per_second": 0.057,
|
177 |
+
"step": 49
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 14.285714285714286,
|
181 |
+
"grad_norm": 0.5113194584846497,
|
182 |
+
"learning_rate": 1.4814814814814815e-05,
|
183 |
+
"loss": 0.0116,
|
184 |
+
"step": 50
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 14.857142857142858,
|
188 |
+
"eval_LCC": 0.3000317546087649,
|
189 |
+
"eval_SROCC": 0.12451380552220888,
|
190 |
+
"eval_loss": 0.019025439396500587,
|
191 |
+
"eval_runtime": 35.0048,
|
192 |
+
"eval_samples_per_second": 1.428,
|
193 |
+
"eval_steps_per_second": 0.057,
|
194 |
+
"step": 52
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 16.0,
|
198 |
+
"eval_LCC": 0.35113038666324353,
|
199 |
+
"eval_SROCC": 0.1594717887154862,
|
200 |
+
"eval_loss": 0.019477322697639465,
|
201 |
+
"eval_runtime": 34.8356,
|
202 |
+
"eval_samples_per_second": 1.435,
|
203 |
+
"eval_steps_per_second": 0.057,
|
204 |
+
"step": 56
|
205 |
+
},
|
206 |
+
{
|
207 |
+
"epoch": 16.857142857142858,
|
208 |
+
"eval_LCC": 0.3803764092219919,
|
209 |
+
"eval_SROCC": 0.1829051620648259,
|
210 |
+
"eval_loss": 0.019361073151230812,
|
211 |
+
"eval_runtime": 34.9637,
|
212 |
+
"eval_samples_per_second": 1.43,
|
213 |
+
"eval_steps_per_second": 0.057,
|
214 |
+
"step": 59
|
215 |
+
},
|
216 |
+
{
|
217 |
+
"epoch": 17.142857142857142,
|
218 |
+
"grad_norm": 0.8568110466003418,
|
219 |
+
"learning_rate": 1.3333333333333333e-05,
|
220 |
+
"loss": 0.0096,
|
221 |
+
"step": 60
|
222 |
+
},
|
223 |
+
{
|
224 |
+
"epoch": 18.0,
|
225 |
+
"eval_LCC": 0.4030357760137721,
|
226 |
+
"eval_SROCC": 0.21440576230492195,
|
227 |
+
"eval_loss": 0.018257679417729378,
|
228 |
+
"eval_runtime": 34.9221,
|
229 |
+
"eval_samples_per_second": 1.432,
|
230 |
+
"eval_steps_per_second": 0.057,
|
231 |
+
"step": 63
|
232 |
+
},
|
233 |
+
{
|
234 |
+
"epoch": 18.857142857142858,
|
235 |
+
"eval_LCC": 0.4085909204754596,
|
236 |
+
"eval_SROCC": 0.21200480192076832,
|
237 |
+
"eval_loss": 0.01950741559267044,
|
238 |
+
"eval_runtime": 34.7591,
|
239 |
+
"eval_samples_per_second": 1.438,
|
240 |
+
"eval_steps_per_second": 0.058,
|
241 |
+
"step": 66
|
242 |
+
},
|
243 |
+
{
|
244 |
+
"epoch": 20.0,
|
245 |
+
"grad_norm": 0.403394877910614,
|
246 |
+
"learning_rate": 1.1851851851851852e-05,
|
247 |
+
"loss": 0.0075,
|
248 |
+
"step": 70
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 20.0,
|
252 |
+
"eval_LCC": 0.41267287372763267,
|
253 |
+
"eval_SROCC": 0.216422569027611,
|
254 |
+
"eval_loss": 0.018830113112926483,
|
255 |
+
"eval_runtime": 34.862,
|
256 |
+
"eval_samples_per_second": 1.434,
|
257 |
+
"eval_steps_per_second": 0.057,
|
258 |
+
"step": 70
|
259 |
+
},
|
260 |
+
{
|
261 |
+
"epoch": 20.857142857142858,
|
262 |
+
"eval_LCC": 0.4223673737494469,
|
263 |
+
"eval_SROCC": 0.2221848739495798,
|
264 |
+
"eval_loss": 0.020868387073278427,
|
265 |
+
"eval_runtime": 35.0558,
|
266 |
+
"eval_samples_per_second": 1.426,
|
267 |
+
"eval_steps_per_second": 0.057,
|
268 |
+
"step": 73
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 22.0,
|
272 |
+
"eval_LCC": 0.43043752892141784,
|
273 |
+
"eval_SROCC": 0.2288115246098439,
|
274 |
+
"eval_loss": 0.017509404569864273,
|
275 |
+
"eval_runtime": 34.8413,
|
276 |
+
"eval_samples_per_second": 1.435,
|
277 |
+
"eval_steps_per_second": 0.057,
|
278 |
+
"step": 77
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 22.857142857142858,
|
282 |
+
"grad_norm": 0.4386737048625946,
|
283 |
+
"learning_rate": 1.037037037037037e-05,
|
284 |
+
"loss": 0.0076,
|
285 |
+
"step": 80
|
286 |
+
},
|
287 |
+
{
|
288 |
+
"epoch": 22.857142857142858,
|
289 |
+
"eval_LCC": 0.4326080523141859,
|
290 |
+
"eval_SROCC": 0.24321728691476588,
|
291 |
+
"eval_loss": 0.021145235747098923,
|
292 |
+
"eval_runtime": 34.9315,
|
293 |
+
"eval_samples_per_second": 1.431,
|
294 |
+
"eval_steps_per_second": 0.057,
|
295 |
+
"step": 80
|
296 |
+
},
|
297 |
+
{
|
298 |
+
"epoch": 24.0,
|
299 |
+
"eval_LCC": 0.43274315513728545,
|
300 |
+
"eval_SROCC": 0.23457382953181274,
|
301 |
+
"eval_loss": 0.018896810710430145,
|
302 |
+
"eval_runtime": 35.0475,
|
303 |
+
"eval_samples_per_second": 1.427,
|
304 |
+
"eval_steps_per_second": 0.057,
|
305 |
+
"step": 84
|
306 |
+
},
|
307 |
+
{
|
308 |
+
"epoch": 24.857142857142858,
|
309 |
+
"eval_LCC": 0.4313378675752595,
|
310 |
+
"eval_SROCC": 0.2293877551020408,
|
311 |
+
"eval_loss": 0.018819700926542282,
|
312 |
+
"eval_runtime": 34.8537,
|
313 |
+
"eval_samples_per_second": 1.435,
|
314 |
+
"eval_steps_per_second": 0.057,
|
315 |
+
"step": 87
|
316 |
+
},
|
317 |
+
{
|
318 |
+
"epoch": 25.714285714285715,
|
319 |
+
"grad_norm": 0.4886440336704254,
|
320 |
+
"learning_rate": 8.888888888888888e-06,
|
321 |
+
"loss": 0.006,
|
322 |
+
"step": 90
|
323 |
+
},
|
324 |
+
{
|
325 |
+
"epoch": 26.0,
|
326 |
+
"eval_LCC": 0.43430975581338493,
|
327 |
+
"eval_SROCC": 0.23899159663865546,
|
328 |
+
"eval_loss": 0.022326407954096794,
|
329 |
+
"eval_runtime": 35.0745,
|
330 |
+
"eval_samples_per_second": 1.426,
|
331 |
+
"eval_steps_per_second": 0.057,
|
332 |
+
"step": 91
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 26.857142857142858,
|
336 |
+
"eval_LCC": 0.4398680198859831,
|
337 |
+
"eval_SROCC": 0.2510924369747899,
|
338 |
+
"eval_loss": 0.0202498622238636,
|
339 |
+
"eval_runtime": 34.9908,
|
340 |
+
"eval_samples_per_second": 1.429,
|
341 |
+
"eval_steps_per_second": 0.057,
|
342 |
+
"step": 94
|
343 |
+
},
|
344 |
+
{
|
345 |
+
"epoch": 26.857142857142858,
|
346 |
+
"step": 94,
|
347 |
+
"total_flos": 7.519124344516116e+17,
|
348 |
+
"train_loss": 0.028724998592379244,
|
349 |
+
"train_runtime": 4511.5827,
|
350 |
+
"train_samples_per_second": 2.372,
|
351 |
+
"train_steps_per_second": 0.033
|
352 |
+
}
|
353 |
+
],
|
354 |
+
"logging_steps": 10,
|
355 |
+
"max_steps": 150,
|
356 |
+
"num_input_tokens_seen": 0,
|
357 |
+
"num_train_epochs": 50,
|
358 |
+
"save_steps": 500,
|
359 |
+
"stateful_callbacks": {
|
360 |
+
"EarlyStoppingCallback": {
|
361 |
+
"args": {
|
362 |
+
"early_stopping_patience": 5,
|
363 |
+
"early_stopping_threshold": 0.0
|
364 |
+
},
|
365 |
+
"attributes": {
|
366 |
+
"early_stopping_patience_counter": 0
|
367 |
+
}
|
368 |
+
},
|
369 |
+
"TrainerControl": {
|
370 |
+
"args": {
|
371 |
+
"should_epoch_stop": false,
|
372 |
+
"should_evaluate": false,
|
373 |
+
"should_log": false,
|
374 |
+
"should_save": true,
|
375 |
+
"should_training_stop": true
|
376 |
+
},
|
377 |
+
"attributes": {}
|
378 |
+
}
|
379 |
+
},
|
380 |
+
"total_flos": 7.519124344516116e+17,
|
381 |
+
"train_batch_size": 32,
|
382 |
+
"trial_name": null,
|
383 |
+
"trial_params": null
|
384 |
+
}
|
training_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 26.857142857142858,
|
3 |
+
"total_flos": 7.519124344516116e+17,
|
4 |
+
"train_loss": 0.028724998592379244,
|
5 |
+
"train_runtime": 4511.5827,
|
6 |
+
"train_samples_per_second": 2.372,
|
7 |
+
"train_steps_per_second": 0.033
|
8 |
+
}
|