Upload 5 files
Browse files- config.json +48 -0
- nsfw-epochs-results.png +0 -0
- nsfw-training-results.png +0 -0
- preprocessor_config.json +24 -0
- trainer_state.json +271 -0
config.json
ADDED
@@ -0,0 +1,48 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"architectures": [
|
3 |
+
"SiglipForImageClassification"
|
4 |
+
],
|
5 |
+
"id2label": {
|
6 |
+
"0": "graphically_violent",
|
7 |
+
"1": "nudity_pornography",
|
8 |
+
"2": "safe_normal"
|
9 |
+
},
|
10 |
+
"initializer_factor": 1.0,
|
11 |
+
"label2id": {
|
12 |
+
"graphically_violent": 0,
|
13 |
+
"nudity_pornography": 1,
|
14 |
+
"safe_normal": 2
|
15 |
+
},
|
16 |
+
"model_type": "siglip",
|
17 |
+
"problem_type": "single_label_classification",
|
18 |
+
"text_config": {
|
19 |
+
"attention_dropout": 0.0,
|
20 |
+
"hidden_act": "gelu_pytorch_tanh",
|
21 |
+
"hidden_size": 768,
|
22 |
+
"intermediate_size": 3072,
|
23 |
+
"layer_norm_eps": 1e-06,
|
24 |
+
"max_position_embeddings": 64,
|
25 |
+
"model_type": "siglip_text_model",
|
26 |
+
"num_attention_heads": 12,
|
27 |
+
"num_hidden_layers": 12,
|
28 |
+
"projection_size": 768,
|
29 |
+
"torch_dtype": "float32",
|
30 |
+
"vocab_size": 256000
|
31 |
+
},
|
32 |
+
"torch_dtype": "float32",
|
33 |
+
"transformers_version": "4.51.3",
|
34 |
+
"vision_config": {
|
35 |
+
"attention_dropout": 0.0,
|
36 |
+
"hidden_act": "gelu_pytorch_tanh",
|
37 |
+
"hidden_size": 768,
|
38 |
+
"image_size": 224,
|
39 |
+
"intermediate_size": 3072,
|
40 |
+
"layer_norm_eps": 1e-06,
|
41 |
+
"model_type": "siglip_vision_model",
|
42 |
+
"num_attention_heads": 12,
|
43 |
+
"num_channels": 3,
|
44 |
+
"num_hidden_layers": 12,
|
45 |
+
"patch_size": 16,
|
46 |
+
"torch_dtype": "float32"
|
47 |
+
}
|
48 |
+
}
|
nsfw-epochs-results.png
ADDED
![]() |
nsfw-training-results.png
ADDED
![]() |
preprocessor_config.json
ADDED
@@ -0,0 +1,24 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"do_convert_rgb": null,
|
3 |
+
"do_normalize": true,
|
4 |
+
"do_rescale": true,
|
5 |
+
"do_resize": true,
|
6 |
+
"image_mean": [
|
7 |
+
0.5,
|
8 |
+
0.5,
|
9 |
+
0.5
|
10 |
+
],
|
11 |
+
"image_processor_type": "SiglipImageProcessor",
|
12 |
+
"image_std": [
|
13 |
+
0.5,
|
14 |
+
0.5,
|
15 |
+
0.5
|
16 |
+
],
|
17 |
+
"processor_class": "SiglipProcessor",
|
18 |
+
"resample": 2,
|
19 |
+
"rescale_factor": 0.00392156862745098,
|
20 |
+
"size": {
|
21 |
+
"height": 224,
|
22 |
+
"width": 224
|
23 |
+
}
|
24 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,271 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_global_step": 306,
|
3 |
+
"best_metric": 0.9845288326300985,
|
4 |
+
"best_model_checkpoint": "siglip2-safety-classifier-gpu/checkpoint-306",
|
5 |
+
"epoch": 3.0,
|
6 |
+
"eval_steps": 500,
|
7 |
+
"global_step": 306,
|
8 |
+
"is_hyper_param_search": false,
|
9 |
+
"is_local_process_zero": true,
|
10 |
+
"is_world_process_zero": true,
|
11 |
+
"log_history": [
|
12 |
+
{
|
13 |
+
"epoch": 0.09803921568627451,
|
14 |
+
"grad_norm": 17.626625061035156,
|
15 |
+
"learning_rate": 2.5e-06,
|
16 |
+
"loss": 1.1335,
|
17 |
+
"step": 10
|
18 |
+
},
|
19 |
+
{
|
20 |
+
"epoch": 0.19607843137254902,
|
21 |
+
"grad_norm": 10.657720565795898,
|
22 |
+
"learning_rate": 5.2777777777777785e-06,
|
23 |
+
"loss": 0.7086,
|
24 |
+
"step": 20
|
25 |
+
},
|
26 |
+
{
|
27 |
+
"epoch": 0.29411764705882354,
|
28 |
+
"grad_norm": 6.507628440856934,
|
29 |
+
"learning_rate": 8.055555555555557e-06,
|
30 |
+
"loss": 0.2973,
|
31 |
+
"step": 30
|
32 |
+
},
|
33 |
+
{
|
34 |
+
"epoch": 0.39215686274509803,
|
35 |
+
"grad_norm": 19.603195190429688,
|
36 |
+
"learning_rate": 1.0833333333333334e-05,
|
37 |
+
"loss": 0.1598,
|
38 |
+
"step": 40
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.49019607843137253,
|
42 |
+
"grad_norm": 4.1803460121154785,
|
43 |
+
"learning_rate": 1.3611111111111113e-05,
|
44 |
+
"loss": 0.1714,
|
45 |
+
"step": 50
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.5882352941176471,
|
49 |
+
"grad_norm": 25.094463348388672,
|
50 |
+
"learning_rate": 1.638888888888889e-05,
|
51 |
+
"loss": 0.1481,
|
52 |
+
"step": 60
|
53 |
+
},
|
54 |
+
{
|
55 |
+
"epoch": 0.6862745098039216,
|
56 |
+
"grad_norm": 7.0236897468566895,
|
57 |
+
"learning_rate": 1.916666666666667e-05,
|
58 |
+
"loss": 0.1073,
|
59 |
+
"step": 70
|
60 |
+
},
|
61 |
+
{
|
62 |
+
"epoch": 0.7843137254901961,
|
63 |
+
"grad_norm": 11.48787784576416,
|
64 |
+
"learning_rate": 1.9781931464174458e-05,
|
65 |
+
"loss": 0.0816,
|
66 |
+
"step": 80
|
67 |
+
},
|
68 |
+
{
|
69 |
+
"epoch": 0.8823529411764706,
|
70 |
+
"grad_norm": 13.502949714660645,
|
71 |
+
"learning_rate": 1.947040498442368e-05,
|
72 |
+
"loss": 0.1205,
|
73 |
+
"step": 90
|
74 |
+
},
|
75 |
+
{
|
76 |
+
"epoch": 0.9803921568627451,
|
77 |
+
"grad_norm": 13.85872745513916,
|
78 |
+
"learning_rate": 1.91588785046729e-05,
|
79 |
+
"loss": 0.1086,
|
80 |
+
"step": 100
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 1.0,
|
84 |
+
"eval_accuracy": 0.9704641350210971,
|
85 |
+
"eval_loss": 0.08171376585960388,
|
86 |
+
"eval_runtime": 483.9596,
|
87 |
+
"eval_samples_per_second": 1.469,
|
88 |
+
"eval_steps_per_second": 0.012,
|
89 |
+
"step": 102
|
90 |
+
},
|
91 |
+
{
|
92 |
+
"epoch": 1.0784313725490196,
|
93 |
+
"grad_norm": 9.396234512329102,
|
94 |
+
"learning_rate": 1.8847352024922122e-05,
|
95 |
+
"loss": 0.0546,
|
96 |
+
"step": 110
|
97 |
+
},
|
98 |
+
{
|
99 |
+
"epoch": 1.1764705882352942,
|
100 |
+
"grad_norm": 3.7309114933013916,
|
101 |
+
"learning_rate": 1.853582554517134e-05,
|
102 |
+
"loss": 0.0574,
|
103 |
+
"step": 120
|
104 |
+
},
|
105 |
+
{
|
106 |
+
"epoch": 1.2745098039215685,
|
107 |
+
"grad_norm": 17.068557739257812,
|
108 |
+
"learning_rate": 1.8224299065420564e-05,
|
109 |
+
"loss": 0.0554,
|
110 |
+
"step": 130
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 1.3725490196078431,
|
114 |
+
"grad_norm": 3.3367063999176025,
|
115 |
+
"learning_rate": 1.7912772585669783e-05,
|
116 |
+
"loss": 0.0645,
|
117 |
+
"step": 140
|
118 |
+
},
|
119 |
+
{
|
120 |
+
"epoch": 1.4705882352941178,
|
121 |
+
"grad_norm": 10.730944633483887,
|
122 |
+
"learning_rate": 1.7601246105919006e-05,
|
123 |
+
"loss": 0.0565,
|
124 |
+
"step": 150
|
125 |
+
},
|
126 |
+
{
|
127 |
+
"epoch": 1.5686274509803921,
|
128 |
+
"grad_norm": 14.649934768676758,
|
129 |
+
"learning_rate": 1.7289719626168225e-05,
|
130 |
+
"loss": 0.083,
|
131 |
+
"step": 160
|
132 |
+
},
|
133 |
+
{
|
134 |
+
"epoch": 1.6666666666666665,
|
135 |
+
"grad_norm": 14.909839630126953,
|
136 |
+
"learning_rate": 1.6978193146417448e-05,
|
137 |
+
"loss": 0.0385,
|
138 |
+
"step": 170
|
139 |
+
},
|
140 |
+
{
|
141 |
+
"epoch": 1.7647058823529411,
|
142 |
+
"grad_norm": 3.265110731124878,
|
143 |
+
"learning_rate": 1.6666666666666667e-05,
|
144 |
+
"loss": 0.1152,
|
145 |
+
"step": 180
|
146 |
+
},
|
147 |
+
{
|
148 |
+
"epoch": 1.8627450980392157,
|
149 |
+
"grad_norm": 7.800755023956299,
|
150 |
+
"learning_rate": 1.635514018691589e-05,
|
151 |
+
"loss": 0.0867,
|
152 |
+
"step": 190
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 1.9607843137254903,
|
156 |
+
"grad_norm": 12.775182723999023,
|
157 |
+
"learning_rate": 1.604361370716511e-05,
|
158 |
+
"loss": 0.0415,
|
159 |
+
"step": 200
|
160 |
+
},
|
161 |
+
{
|
162 |
+
"epoch": 2.0,
|
163 |
+
"eval_accuracy": 0.9549929676511955,
|
164 |
+
"eval_loss": 0.12330988794565201,
|
165 |
+
"eval_runtime": 14.4147,
|
166 |
+
"eval_samples_per_second": 49.325,
|
167 |
+
"eval_steps_per_second": 0.416,
|
168 |
+
"step": 204
|
169 |
+
},
|
170 |
+
{
|
171 |
+
"epoch": 2.0588235294117645,
|
172 |
+
"grad_norm": 18.324607849121094,
|
173 |
+
"learning_rate": 1.5732087227414332e-05,
|
174 |
+
"loss": 0.0649,
|
175 |
+
"step": 210
|
176 |
+
},
|
177 |
+
{
|
178 |
+
"epoch": 2.156862745098039,
|
179 |
+
"grad_norm": 1.119167685508728,
|
180 |
+
"learning_rate": 1.5420560747663555e-05,
|
181 |
+
"loss": 0.0288,
|
182 |
+
"step": 220
|
183 |
+
},
|
184 |
+
{
|
185 |
+
"epoch": 2.2549019607843137,
|
186 |
+
"grad_norm": 13.742692947387695,
|
187 |
+
"learning_rate": 1.5109034267912774e-05,
|
188 |
+
"loss": 0.0569,
|
189 |
+
"step": 230
|
190 |
+
},
|
191 |
+
{
|
192 |
+
"epoch": 2.3529411764705883,
|
193 |
+
"grad_norm": 1.8996661901474,
|
194 |
+
"learning_rate": 1.4797507788161995e-05,
|
195 |
+
"loss": 0.0071,
|
196 |
+
"step": 240
|
197 |
+
},
|
198 |
+
{
|
199 |
+
"epoch": 2.450980392156863,
|
200 |
+
"grad_norm": 13.215072631835938,
|
201 |
+
"learning_rate": 1.4485981308411216e-05,
|
202 |
+
"loss": 0.0294,
|
203 |
+
"step": 250
|
204 |
+
},
|
205 |
+
{
|
206 |
+
"epoch": 2.549019607843137,
|
207 |
+
"grad_norm": 32.19113540649414,
|
208 |
+
"learning_rate": 1.4174454828660437e-05,
|
209 |
+
"loss": 0.0217,
|
210 |
+
"step": 260
|
211 |
+
},
|
212 |
+
{
|
213 |
+
"epoch": 2.6470588235294117,
|
214 |
+
"grad_norm": 7.469207286834717,
|
215 |
+
"learning_rate": 1.3862928348909658e-05,
|
216 |
+
"loss": 0.0194,
|
217 |
+
"step": 270
|
218 |
+
},
|
219 |
+
{
|
220 |
+
"epoch": 2.7450980392156863,
|
221 |
+
"grad_norm": 2.948065996170044,
|
222 |
+
"learning_rate": 1.355140186915888e-05,
|
223 |
+
"loss": 0.017,
|
224 |
+
"step": 280
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 2.843137254901961,
|
228 |
+
"grad_norm": 0.15147125720977783,
|
229 |
+
"learning_rate": 1.3239875389408102e-05,
|
230 |
+
"loss": 0.0186,
|
231 |
+
"step": 290
|
232 |
+
},
|
233 |
+
{
|
234 |
+
"epoch": 2.9411764705882355,
|
235 |
+
"grad_norm": 0.9559997320175171,
|
236 |
+
"learning_rate": 1.2928348909657323e-05,
|
237 |
+
"loss": 0.0302,
|
238 |
+
"step": 300
|
239 |
+
},
|
240 |
+
{
|
241 |
+
"epoch": 3.0,
|
242 |
+
"eval_accuracy": 0.9845288326300985,
|
243 |
+
"eval_loss": 0.05156884714961052,
|
244 |
+
"eval_runtime": 14.9504,
|
245 |
+
"eval_samples_per_second": 47.557,
|
246 |
+
"eval_steps_per_second": 0.401,
|
247 |
+
"step": 306
|
248 |
+
}
|
249 |
+
],
|
250 |
+
"logging_steps": 10,
|
251 |
+
"max_steps": 714,
|
252 |
+
"num_input_tokens_seen": 0,
|
253 |
+
"num_train_epochs": 7,
|
254 |
+
"save_steps": 500,
|
255 |
+
"stateful_callbacks": {
|
256 |
+
"TrainerControl": {
|
257 |
+
"args": {
|
258 |
+
"should_epoch_stop": false,
|
259 |
+
"should_evaluate": false,
|
260 |
+
"should_log": false,
|
261 |
+
"should_save": true,
|
262 |
+
"should_training_stop": false
|
263 |
+
},
|
264 |
+
"attributes": {}
|
265 |
+
}
|
266 |
+
},
|
267 |
+
"total_flos": 1.6395274262481408e+18,
|
268 |
+
"train_batch_size": 64,
|
269 |
+
"trial_name": null,
|
270 |
+
"trial_params": null
|
271 |
+
}
|