vuongnhathien
commited on
Commit
•
2f94bb4
1
Parent(s):
526b190
End of training
Browse files- README.md +3 -3
- all_results.json +8 -0
- runs/May29_10-29-11_709e5c942e55/events.out.tfevents.1716989295.709e5c942e55.25.1 +3 -0
- train_results.json +8 -0
- trainer_state.json +505 -0
README.md
CHANGED
@@ -22,7 +22,7 @@ model-index:
|
|
22 |
metrics:
|
23 |
- name: Accuracy
|
24 |
type: accuracy
|
25 |
-
value: 0.
|
26 |
---
|
27 |
|
28 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
@@ -32,8 +32,8 @@ should probably proofread and complete it, then remove this comment. -->
|
|
32 |
|
33 |
This model is a fine-tuned version of [facebook/convnextv2-tiny-22k-384](https://huggingface.co/facebook/convnextv2-tiny-22k-384) on the imagefolder dataset.
|
34 |
It achieves the following results on the evaluation set:
|
35 |
-
- Loss: 0.
|
36 |
-
- Accuracy: 0.
|
37 |
|
38 |
## Model description
|
39 |
|
|
|
22 |
metrics:
|
23 |
- name: Accuracy
|
24 |
type: accuracy
|
25 |
+
value: 0.9297619047619048
|
26 |
---
|
27 |
|
28 |
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
|
|
32 |
|
33 |
This model is a fine-tuned version of [facebook/convnextv2-tiny-22k-384](https://huggingface.co/facebook/convnextv2-tiny-22k-384) on the imagefolder dataset.
|
34 |
It achieves the following results on the evaluation set:
|
35 |
+
- Loss: 0.2521
|
36 |
+
- Accuracy: 0.9298
|
37 |
|
38 |
## Model description
|
39 |
|
all_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 10.0,
|
3 |
+
"total_flos": 1.301428412334932e+19,
|
4 |
+
"train_loss": 0.5498046708540483,
|
5 |
+
"train_runtime": 10510.7539,
|
6 |
+
"train_samples_per_second": 16.727,
|
7 |
+
"train_steps_per_second": 0.523
|
8 |
+
}
|
runs/May29_10-29-11_709e5c942e55/events.out.tfevents.1716989295.709e5c942e55.25.1
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:05b373c8c077b009deb1c2721389ef36510f245dd8c675e63a854576f7b5eec9
|
3 |
+
size 411
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 10.0,
|
3 |
+
"total_flos": 1.301428412334932e+19,
|
4 |
+
"train_loss": 0.5498046708540483,
|
5 |
+
"train_runtime": 10510.7539,
|
6 |
+
"train_samples_per_second": 16.727,
|
7 |
+
"train_steps_per_second": 0.523
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,505 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.2655230164527893,
|
3 |
+
"best_model_checkpoint": "./convnext-tiny-upgrade-384-batch-32/checkpoint-5500",
|
4 |
+
"epoch": 10.0,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 5500,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.18,
|
13 |
+
"grad_norm": 19.57126808166504,
|
14 |
+
"learning_rate": 2.9975536558892034e-05,
|
15 |
+
"loss": 2.7921,
|
16 |
+
"step": 100
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 0.36,
|
20 |
+
"grad_norm": 32.66088104248047,
|
21 |
+
"learning_rate": 2.9902226030228252e-05,
|
22 |
+
"loss": 1.698,
|
23 |
+
"step": 200
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 0.55,
|
27 |
+
"grad_norm": 20.374221801757812,
|
28 |
+
"learning_rate": 2.9780307537715396e-05,
|
29 |
+
"loss": 1.2474,
|
30 |
+
"step": 300
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.73,
|
34 |
+
"grad_norm": 25.04788589477539,
|
35 |
+
"learning_rate": 2.9610178754135005e-05,
|
36 |
+
"loss": 1.0608,
|
37 |
+
"step": 400
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 0.91,
|
41 |
+
"grad_norm": 14.614296913146973,
|
42 |
+
"learning_rate": 2.939239460421746e-05,
|
43 |
+
"loss": 0.9343,
|
44 |
+
"step": 500
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 1.0,
|
48 |
+
"eval_accuracy": 0.8409542743538767,
|
49 |
+
"eval_loss": 0.5731540322303772,
|
50 |
+
"eval_runtime": 70.5042,
|
51 |
+
"eval_samples_per_second": 35.672,
|
52 |
+
"eval_steps_per_second": 1.121,
|
53 |
+
"step": 550
|
54 |
+
},
|
55 |
+
{
|
56 |
+
"epoch": 1.09,
|
57 |
+
"grad_norm": 26.049169540405273,
|
58 |
+
"learning_rate": 2.9127665454592872e-05,
|
59 |
+
"loss": 0.8642,
|
60 |
+
"step": 600
|
61 |
+
},
|
62 |
+
{
|
63 |
+
"epoch": 1.27,
|
64 |
+
"grad_norm": 22.884756088256836,
|
65 |
+
"learning_rate": 2.8816854796722754e-05,
|
66 |
+
"loss": 0.7679,
|
67 |
+
"step": 700
|
68 |
+
},
|
69 |
+
{
|
70 |
+
"epoch": 1.45,
|
71 |
+
"grad_norm": 21.125539779663086,
|
72 |
+
"learning_rate": 2.8460976430370375e-05,
|
73 |
+
"loss": 0.7144,
|
74 |
+
"step": 800
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 1.64,
|
78 |
+
"grad_norm": 32.00399398803711,
|
79 |
+
"learning_rate": 2.8061191156796658e-05,
|
80 |
+
"loss": 0.7373,
|
81 |
+
"step": 900
|
82 |
+
},
|
83 |
+
{
|
84 |
+
"epoch": 1.82,
|
85 |
+
"grad_norm": 25.68100357055664,
|
86 |
+
"learning_rate": 2.7618802992467718e-05,
|
87 |
+
"loss": 0.6422,
|
88 |
+
"step": 1000
|
89 |
+
},
|
90 |
+
{
|
91 |
+
"epoch": 2.0,
|
92 |
+
"grad_norm": 30.877243041992188,
|
93 |
+
"learning_rate": 2.7135254915624213e-05,
|
94 |
+
"loss": 0.6456,
|
95 |
+
"step": 1100
|
96 |
+
},
|
97 |
+
{
|
98 |
+
"epoch": 2.0,
|
99 |
+
"eval_accuracy": 0.8842942345924454,
|
100 |
+
"eval_loss": 0.4129641652107239,
|
101 |
+
"eval_runtime": 70.4926,
|
102 |
+
"eval_samples_per_second": 35.678,
|
103 |
+
"eval_steps_per_second": 1.121,
|
104 |
+
"step": 1100
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 2.18,
|
108 |
+
"grad_norm": 19.94837760925293,
|
109 |
+
"learning_rate": 2.661212415958624e-05,
|
110 |
+
"loss": 0.5854,
|
111 |
+
"step": 1200
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 2.36,
|
115 |
+
"grad_norm": 24.665042877197266,
|
116 |
+
"learning_rate": 2.6051117068146073e-05,
|
117 |
+
"loss": 0.5862,
|
118 |
+
"step": 1300
|
119 |
+
},
|
120 |
+
{
|
121 |
+
"epoch": 2.55,
|
122 |
+
"grad_norm": 17.881755828857422,
|
123 |
+
"learning_rate": 2.5454063529829405e-05,
|
124 |
+
"loss": 0.5626,
|
125 |
+
"step": 1400
|
126 |
+
},
|
127 |
+
{
|
128 |
+
"epoch": 2.73,
|
129 |
+
"grad_norm": 25.268552780151367,
|
130 |
+
"learning_rate": 2.482291100917928e-05,
|
131 |
+
"loss": 0.5462,
|
132 |
+
"step": 1500
|
133 |
+
},
|
134 |
+
{
|
135 |
+
"epoch": 2.91,
|
136 |
+
"grad_norm": 19.982158660888672,
|
137 |
+
"learning_rate": 2.4159718194531573e-05,
|
138 |
+
"loss": 0.5478,
|
139 |
+
"step": 1600
|
140 |
+
},
|
141 |
+
{
|
142 |
+
"epoch": 3.0,
|
143 |
+
"eval_accuracy": 0.9025844930417495,
|
144 |
+
"eval_loss": 0.3537212908267975,
|
145 |
+
"eval_runtime": 69.6425,
|
146 |
+
"eval_samples_per_second": 36.113,
|
147 |
+
"eval_steps_per_second": 1.134,
|
148 |
+
"step": 1650
|
149 |
+
},
|
150 |
+
{
|
151 |
+
"epoch": 3.09,
|
152 |
+
"grad_norm": 28.108890533447266,
|
153 |
+
"learning_rate": 2.3466648283001542e-05,
|
154 |
+
"loss": 0.5215,
|
155 |
+
"step": 1700
|
156 |
+
},
|
157 |
+
{
|
158 |
+
"epoch": 3.27,
|
159 |
+
"grad_norm": 22.890396118164062,
|
160 |
+
"learning_rate": 2.274596192458443e-05,
|
161 |
+
"loss": 0.5037,
|
162 |
+
"step": 1800
|
163 |
+
},
|
164 |
+
{
|
165 |
+
"epoch": 3.45,
|
166 |
+
"grad_norm": 24.4963321685791,
|
167 |
+
"learning_rate": 2.2000009848385107e-05,
|
168 |
+
"loss": 0.4873,
|
169 |
+
"step": 1900
|
170 |
+
},
|
171 |
+
{
|
172 |
+
"epoch": 3.64,
|
173 |
+
"grad_norm": 23.050090789794922,
|
174 |
+
"learning_rate": 2.12312251950283e-05,
|
175 |
+
"loss": 0.5107,
|
176 |
+
"step": 2000
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 3.82,
|
180 |
+
"grad_norm": 14.223852157592773,
|
181 |
+
"learning_rate": 2.0442115580259615e-05,
|
182 |
+
"loss": 0.5071,
|
183 |
+
"step": 2100
|
184 |
+
},
|
185 |
+
{
|
186 |
+
"epoch": 4.0,
|
187 |
+
"grad_norm": 28.922595977783203,
|
188 |
+
"learning_rate": 1.963525491562421e-05,
|
189 |
+
"loss": 0.466,
|
190 |
+
"step": 2200
|
191 |
+
},
|
192 |
+
{
|
193 |
+
"epoch": 4.0,
|
194 |
+
"eval_accuracy": 0.9180914512922466,
|
195 |
+
"eval_loss": 0.3011625111103058,
|
196 |
+
"eval_runtime": 70.4042,
|
197 |
+
"eval_samples_per_second": 35.722,
|
198 |
+
"eval_steps_per_second": 1.122,
|
199 |
+
"step": 2200
|
200 |
+
},
|
201 |
+
{
|
202 |
+
"epoch": 4.18,
|
203 |
+
"grad_norm": 15.419177055358887,
|
204 |
+
"learning_rate": 1.8813275012902307e-05,
|
205 |
+
"loss": 0.4539,
|
206 |
+
"step": 2300
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 4.36,
|
210 |
+
"grad_norm": 18.684144973754883,
|
211 |
+
"learning_rate": 1.7978856999686182e-05,
|
212 |
+
"loss": 0.434,
|
213 |
+
"step": 2400
|
214 |
+
},
|
215 |
+
{
|
216 |
+
"epoch": 4.55,
|
217 |
+
"grad_norm": 17.165298461914062,
|
218 |
+
"learning_rate": 1.713472257409928e-05,
|
219 |
+
"loss": 0.426,
|
220 |
+
"step": 2500
|
221 |
+
},
|
222 |
+
{
|
223 |
+
"epoch": 4.73,
|
224 |
+
"grad_norm": 13.944131851196289,
|
225 |
+
"learning_rate": 1.6283625127182596e-05,
|
226 |
+
"loss": 0.449,
|
227 |
+
"step": 2600
|
228 |
+
},
|
229 |
+
{
|
230 |
+
"epoch": 4.91,
|
231 |
+
"grad_norm": 19.61562728881836,
|
232 |
+
"learning_rate": 1.5428340761905444e-05,
|
233 |
+
"loss": 0.4619,
|
234 |
+
"step": 2700
|
235 |
+
},
|
236 |
+
{
|
237 |
+
"epoch": 5.0,
|
238 |
+
"eval_accuracy": 0.9141153081510934,
|
239 |
+
"eval_loss": 0.303144633769989,
|
240 |
+
"eval_runtime": 70.2862,
|
241 |
+
"eval_samples_per_second": 35.782,
|
242 |
+
"eval_steps_per_second": 1.124,
|
243 |
+
"step": 2750
|
244 |
+
},
|
245 |
+
{
|
246 |
+
"epoch": 5.09,
|
247 |
+
"grad_norm": 15.433624267578125,
|
248 |
+
"learning_rate": 1.4571659238094557e-05,
|
249 |
+
"loss": 0.4093,
|
250 |
+
"step": 2800
|
251 |
+
},
|
252 |
+
{
|
253 |
+
"epoch": 5.27,
|
254 |
+
"grad_norm": 24.75423812866211,
|
255 |
+
"learning_rate": 1.3716374872817408e-05,
|
256 |
+
"loss": 0.4117,
|
257 |
+
"step": 2900
|
258 |
+
},
|
259 |
+
{
|
260 |
+
"epoch": 5.45,
|
261 |
+
"grad_norm": 19.66401481628418,
|
262 |
+
"learning_rate": 1.2865277425900725e-05,
|
263 |
+
"loss": 0.3987,
|
264 |
+
"step": 3000
|
265 |
+
},
|
266 |
+
{
|
267 |
+
"epoch": 5.64,
|
268 |
+
"grad_norm": 21.91676902770996,
|
269 |
+
"learning_rate": 1.2021143000313822e-05,
|
270 |
+
"loss": 0.3868,
|
271 |
+
"step": 3100
|
272 |
+
},
|
273 |
+
{
|
274 |
+
"epoch": 5.82,
|
275 |
+
"grad_norm": 13.552069664001465,
|
276 |
+
"learning_rate": 1.11867249870977e-05,
|
277 |
+
"loss": 0.4236,
|
278 |
+
"step": 3200
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 6.0,
|
282 |
+
"grad_norm": 12.01144790649414,
|
283 |
+
"learning_rate": 1.036474508437579e-05,
|
284 |
+
"loss": 0.4046,
|
285 |
+
"step": 3300
|
286 |
+
},
|
287 |
+
{
|
288 |
+
"epoch": 6.0,
|
289 |
+
"eval_accuracy": 0.9157057654075547,
|
290 |
+
"eval_loss": 0.29709887504577637,
|
291 |
+
"eval_runtime": 70.5426,
|
292 |
+
"eval_samples_per_second": 35.652,
|
293 |
+
"eval_steps_per_second": 1.12,
|
294 |
+
"step": 3300
|
295 |
+
},
|
296 |
+
{
|
297 |
+
"epoch": 6.18,
|
298 |
+
"grad_norm": 5.744084358215332,
|
299 |
+
"learning_rate": 9.557884419740387e-06,
|
300 |
+
"loss": 0.3854,
|
301 |
+
"step": 3400
|
302 |
+
},
|
303 |
+
{
|
304 |
+
"epoch": 6.36,
|
305 |
+
"grad_norm": 16.507299423217773,
|
306 |
+
"learning_rate": 8.768774804971705e-06,
|
307 |
+
"loss": 0.3689,
|
308 |
+
"step": 3500
|
309 |
+
},
|
310 |
+
{
|
311 |
+
"epoch": 6.55,
|
312 |
+
"grad_norm": 17.598424911499023,
|
313 |
+
"learning_rate": 7.999990151614895e-06,
|
314 |
+
"loss": 0.3805,
|
315 |
+
"step": 3600
|
316 |
+
},
|
317 |
+
{
|
318 |
+
"epoch": 6.73,
|
319 |
+
"grad_norm": 20.120948791503906,
|
320 |
+
"learning_rate": 7.254038075415573e-06,
|
321 |
+
"loss": 0.352,
|
322 |
+
"step": 3700
|
323 |
+
},
|
324 |
+
{
|
325 |
+
"epoch": 6.91,
|
326 |
+
"grad_norm": 12.273432731628418,
|
327 |
+
"learning_rate": 6.533351716998466e-06,
|
328 |
+
"loss": 0.3852,
|
329 |
+
"step": 3800
|
330 |
+
},
|
331 |
+
{
|
332 |
+
"epoch": 7.0,
|
333 |
+
"eval_accuracy": 0.9204771371769384,
|
334 |
+
"eval_loss": 0.27634668350219727,
|
335 |
+
"eval_runtime": 69.9648,
|
336 |
+
"eval_samples_per_second": 35.947,
|
337 |
+
"eval_steps_per_second": 1.129,
|
338 |
+
"step": 3850
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 7.09,
|
342 |
+
"grad_norm": 16.243404388427734,
|
343 |
+
"learning_rate": 5.840281805468427e-06,
|
344 |
+
"loss": 0.3342,
|
345 |
+
"step": 3900
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 7.27,
|
349 |
+
"grad_norm": 16.89383316040039,
|
350 |
+
"learning_rate": 5.177088990820725e-06,
|
351 |
+
"loss": 0.3651,
|
352 |
+
"step": 4000
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 7.45,
|
356 |
+
"grad_norm": 24.284339904785156,
|
357 |
+
"learning_rate": 4.5459364701706e-06,
|
358 |
+
"loss": 0.3668,
|
359 |
+
"step": 4100
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 7.64,
|
363 |
+
"grad_norm": 17.376432418823242,
|
364 |
+
"learning_rate": 3.948882931853924e-06,
|
365 |
+
"loss": 0.3521,
|
366 |
+
"step": 4200
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 7.82,
|
370 |
+
"grad_norm": 9.699359893798828,
|
371 |
+
"learning_rate": 3.3878758404137627e-06,
|
372 |
+
"loss": 0.36,
|
373 |
+
"step": 4300
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 8.0,
|
377 |
+
"grad_norm": 61.89017105102539,
|
378 |
+
"learning_rate": 2.86474508437579e-06,
|
379 |
+
"loss": 0.3346,
|
380 |
+
"step": 4400
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 8.0,
|
384 |
+
"eval_accuracy": 0.9224652087475149,
|
385 |
+
"eval_loss": 0.27124735713005066,
|
386 |
+
"eval_runtime": 70.1639,
|
387 |
+
"eval_samples_per_second": 35.845,
|
388 |
+
"eval_steps_per_second": 1.126,
|
389 |
+
"step": 4400
|
390 |
+
},
|
391 |
+
{
|
392 |
+
"epoch": 8.18,
|
393 |
+
"grad_norm": 20.770275115966797,
|
394 |
+
"learning_rate": 2.38119700753228e-06,
|
395 |
+
"loss": 0.327,
|
396 |
+
"step": 4500
|
397 |
+
},
|
398 |
+
{
|
399 |
+
"epoch": 8.36,
|
400 |
+
"grad_norm": 16.55147361755371,
|
401 |
+
"learning_rate": 1.9388088432033446e-06,
|
402 |
+
"loss": 0.3215,
|
403 |
+
"step": 4600
|
404 |
+
},
|
405 |
+
{
|
406 |
+
"epoch": 8.55,
|
407 |
+
"grad_norm": 31.432947158813477,
|
408 |
+
"learning_rate": 1.5390235696296268e-06,
|
409 |
+
"loss": 0.3265,
|
410 |
+
"step": 4700
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 8.73,
|
414 |
+
"grad_norm": 23.547870635986328,
|
415 |
+
"learning_rate": 1.1831452032772499e-06,
|
416 |
+
"loss": 0.3433,
|
417 |
+
"step": 4800
|
418 |
+
},
|
419 |
+
{
|
420 |
+
"epoch": 8.91,
|
421 |
+
"grad_norm": 7.18527889251709,
|
422 |
+
"learning_rate": 8.723345454071308e-07,
|
423 |
+
"loss": 0.3386,
|
424 |
+
"step": 4900
|
425 |
+
},
|
426 |
+
{
|
427 |
+
"epoch": 9.0,
|
428 |
+
"eval_accuracy": 0.9220675944333996,
|
429 |
+
"eval_loss": 0.2671603262424469,
|
430 |
+
"eval_runtime": 70.5325,
|
431 |
+
"eval_samples_per_second": 35.657,
|
432 |
+
"eval_steps_per_second": 1.12,
|
433 |
+
"step": 4950
|
434 |
+
},
|
435 |
+
{
|
436 |
+
"epoch": 9.09,
|
437 |
+
"grad_norm": 18.18093490600586,
|
438 |
+
"learning_rate": 6.076053957825411e-07,
|
439 |
+
"loss": 0.3248,
|
440 |
+
"step": 5000
|
441 |
+
},
|
442 |
+
{
|
443 |
+
"epoch": 9.27,
|
444 |
+
"grad_norm": 20.491416931152344,
|
445 |
+
"learning_rate": 3.8982124586499804e-07,
|
446 |
+
"loss": 0.3149,
|
447 |
+
"step": 5100
|
448 |
+
},
|
449 |
+
{
|
450 |
+
"epoch": 9.45,
|
451 |
+
"grad_norm": 26.094270706176758,
|
452 |
+
"learning_rate": 2.1969246228460526e-07,
|
453 |
+
"loss": 0.3316,
|
454 |
+
"step": 5200
|
455 |
+
},
|
456 |
+
{
|
457 |
+
"epoch": 9.64,
|
458 |
+
"grad_norm": 23.82662582397461,
|
459 |
+
"learning_rate": 9.777396977174668e-08,
|
460 |
+
"loss": 0.3519,
|
461 |
+
"step": 5300
|
462 |
+
},
|
463 |
+
{
|
464 |
+
"epoch": 9.82,
|
465 |
+
"grad_norm": 23.638530731201172,
|
466 |
+
"learning_rate": 2.4463441107965278e-08,
|
467 |
+
"loss": 0.34,
|
468 |
+
"step": 5400
|
469 |
+
},
|
470 |
+
{
|
471 |
+
"epoch": 10.0,
|
472 |
+
"grad_norm": 30.666988372802734,
|
473 |
+
"learning_rate": 0.0,
|
474 |
+
"loss": 0.3462,
|
475 |
+
"step": 5500
|
476 |
+
},
|
477 |
+
{
|
478 |
+
"epoch": 10.0,
|
479 |
+
"eval_accuracy": 0.9244532803180915,
|
480 |
+
"eval_loss": 0.2655230164527893,
|
481 |
+
"eval_runtime": 70.9285,
|
482 |
+
"eval_samples_per_second": 35.458,
|
483 |
+
"eval_steps_per_second": 1.114,
|
484 |
+
"step": 5500
|
485 |
+
},
|
486 |
+
{
|
487 |
+
"epoch": 10.0,
|
488 |
+
"step": 5500,
|
489 |
+
"total_flos": 1.301428412334932e+19,
|
490 |
+
"train_loss": 0.5498046708540483,
|
491 |
+
"train_runtime": 10510.7539,
|
492 |
+
"train_samples_per_second": 16.727,
|
493 |
+
"train_steps_per_second": 0.523
|
494 |
+
}
|
495 |
+
],
|
496 |
+
"logging_steps": 100,
|
497 |
+
"max_steps": 5500,
|
498 |
+
"num_input_tokens_seen": 0,
|
499 |
+
"num_train_epochs": 10,
|
500 |
+
"save_steps": 500,
|
501 |
+
"total_flos": 1.301428412334932e+19,
|
502 |
+
"train_batch_size": 32,
|
503 |
+
"trial_name": null,
|
504 |
+
"trial_params": null
|
505 |
+
}
|