ft-mit-b0-with-scene-parse-150-lora
Browse files- README.md +105 -105
- adapter_config.json +4 -4
- adapter_model.safetensors +2 -2
- training_args.bin +1 -1
README.md
CHANGED
@@ -18,44 +18,44 @@ should probably proofread and complete it, then remove this comment. -->
|
|
18 |
|
19 |
This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the scene_parse_150 dataset.
|
20 |
It achieves the following results on the evaluation set:
|
21 |
-
- Loss: 2.
|
22 |
-
- Mean Iou: 0.
|
23 |
-
- Mean Accuracy: 0.
|
24 |
-
- Overall Accuracy: 0.
|
25 |
- Accuracy Wall: nan
|
26 |
-
- Accuracy Building: 0.
|
27 |
-
- Accuracy Sky: 0.
|
28 |
-
- Accuracy Floor: 0.
|
29 |
- Accuracy Tree: 0.0
|
30 |
- Accuracy Ceiling: 0.0
|
31 |
- Accuracy Road: nan
|
32 |
- Accuracy Bed : 0.0
|
33 |
-
- Accuracy Windowpane: 0.
|
34 |
- Accuracy Grass: 0.0
|
35 |
- Accuracy Cabinet: nan
|
36 |
- Accuracy Sidewalk: 0.0
|
37 |
-
- Accuracy Person: 0.
|
38 |
- Accuracy Earth: 0.0
|
39 |
- Accuracy Door: 0.0
|
40 |
- Accuracy Table: 0.0
|
41 |
-
- Accuracy Mountain: 0.
|
42 |
- Accuracy Plant: 0.0
|
43 |
- Accuracy Curtain: 0.0
|
44 |
-
- Accuracy Chair:
|
45 |
- Accuracy Car: 0.0
|
46 |
- Accuracy Water: 0.0
|
47 |
- Accuracy Painting: 0.0
|
48 |
- Accuracy Sofa: 0.0
|
49 |
- Accuracy Shelf: 0.0
|
50 |
-
- Accuracy House:
|
51 |
- Accuracy Sea: 0.0
|
52 |
-
- Accuracy Mirror:
|
53 |
-
- Accuracy Rug:
|
54 |
- Accuracy Field: 0.0
|
55 |
-
- Accuracy Armchair:
|
56 |
- Accuracy Seat: 0.0
|
57 |
- Accuracy Fence: nan
|
58 |
-
- Accuracy Desk:
|
59 |
- Accuracy Rock: nan
|
60 |
- Accuracy Wardrobe: 0.0
|
61 |
- Accuracy Lamp: nan
|
@@ -66,30 +66,30 @@ It achieves the following results on the evaluation set:
|
|
66 |
- Accuracy Box: nan
|
67 |
- Accuracy Column: 0.0
|
68 |
- Accuracy Signboard: nan
|
69 |
-
- Accuracy Chest of drawers:
|
70 |
-
- Accuracy Counter:
|
71 |
- Accuracy Sand: nan
|
72 |
- Accuracy Sink: nan
|
73 |
- Accuracy Skyscraper: 0.0
|
74 |
-
- Accuracy Fireplace:
|
75 |
-
- Accuracy Refrigerator:
|
76 |
- Accuracy Grandstand: 0.0
|
77 |
-
- Accuracy Path:
|
78 |
-
- Accuracy Stairs:
|
79 |
- Accuracy Runway: nan
|
80 |
- Accuracy Case: nan
|
81 |
- Accuracy Pool table: nan
|
82 |
- Accuracy Pillow: nan
|
83 |
- Accuracy Screen door: 0.0
|
84 |
-
- Accuracy Stairway:
|
85 |
- Accuracy River: nan
|
86 |
- Accuracy Bridge: nan
|
87 |
- Accuracy Bookcase: nan
|
88 |
-
- Accuracy Blind:
|
89 |
- Accuracy Coffee table: nan
|
90 |
- Accuracy Toilet: 0.0
|
91 |
-
- Accuracy Flower:
|
92 |
-
- Accuracy Book:
|
93 |
- Accuracy Hill: nan
|
94 |
- Accuracy Bench: nan
|
95 |
- Accuracy Countertop: nan
|
@@ -103,109 +103,109 @@ It achieves the following results on the evaluation set:
|
|
103 |
- Accuracy Arcade machine: nan
|
104 |
- Accuracy Hovel: nan
|
105 |
- Accuracy Bus: nan
|
106 |
-
- Accuracy Towel:
|
107 |
-
- Accuracy Light:
|
108 |
- Accuracy Truck: nan
|
109 |
-
- Accuracy Tower:
|
110 |
- Accuracy Chandelier: 0.0
|
111 |
-
- Accuracy Awning:
|
112 |
- Accuracy Streetlight: nan
|
113 |
- Accuracy Booth: nan
|
114 |
-
- Accuracy Television receiver:
|
115 |
- Accuracy Airplane: nan
|
116 |
- Accuracy Dirt track: nan
|
117 |
-
- Accuracy Apparel:
|
118 |
- Accuracy Pole: nan
|
119 |
- Accuracy Land: 0.0
|
120 |
- Accuracy Bannister: nan
|
121 |
- Accuracy Escalator: nan
|
122 |
-
- Accuracy Ottoman:
|
123 |
-
- Accuracy Bottle:
|
124 |
-
- Accuracy Buffet:
|
125 |
-
- Accuracy Poster:
|
126 |
-
- Accuracy Stage:
|
127 |
- Accuracy Van: nan
|
128 |
- Accuracy Ship: nan
|
129 |
- Accuracy Fountain: nan
|
130 |
- Accuracy Conveyer belt: nan
|
131 |
- Accuracy Canopy: nan
|
132 |
-
- Accuracy Washer:
|
133 |
- Accuracy Plaything: nan
|
134 |
- Accuracy Swimming pool: nan
|
135 |
- Accuracy Stool: nan
|
136 |
-
- Accuracy Barrel:
|
137 |
-
- Accuracy Basket:
|
138 |
- Accuracy Waterfall: nan
|
139 |
-
- Accuracy Tent:
|
140 |
- Accuracy Bag: nan
|
141 |
- Accuracy Minibike: nan
|
142 |
- Accuracy Cradle: nan
|
143 |
-
- Accuracy Oven:
|
144 |
- Accuracy Ball: nan
|
145 |
- Accuracy Food: nan
|
146 |
-
- Accuracy Step:
|
147 |
- Accuracy Tank: nan
|
148 |
- Accuracy Trade name: nan
|
149 |
- Accuracy Microwave: 0.0
|
150 |
-
- Accuracy Pot:
|
151 |
-
- Accuracy Animal:
|
152 |
- Accuracy Bicycle: nan
|
153 |
- Accuracy Lake: nan
|
154 |
- Accuracy Dishwasher: nan
|
155 |
-
- Accuracy Screen:
|
156 |
- Accuracy Blanket: nan
|
157 |
- Accuracy Sculpture: nan
|
158 |
-
- Accuracy Hood:
|
159 |
- Accuracy Sconce: 0.0
|
160 |
- Accuracy Vase: nan
|
161 |
- Accuracy Traffic light: 0.0
|
162 |
-
- Accuracy Tray:
|
163 |
- Accuracy Ashcan: nan
|
164 |
- Accuracy Fan: nan
|
165 |
- Accuracy Pier: nan
|
166 |
-
- Accuracy Crt screen:
|
167 |
- Accuracy Plate: nan
|
168 |
- Accuracy Monitor: nan
|
169 |
- Accuracy Bulletin board: nan
|
170 |
- Accuracy Shower: nan
|
171 |
-
- Accuracy Radiator:
|
172 |
- Accuracy Glass: nan
|
173 |
-
- Accuracy Clock:
|
174 |
- Accuracy Flag: nan
|
175 |
- Iou Wall: 0.0
|
176 |
-
- Iou Building: 0.
|
177 |
-
- Iou Sky: 0.
|
178 |
-
- Iou Floor: 0.
|
179 |
- Iou Tree: 0.0
|
180 |
- Iou Ceiling: 0.0
|
181 |
- Iou Road: 0.0
|
182 |
- Iou Bed : 0.0
|
183 |
-
- Iou Windowpane: 0.
|
184 |
- Iou Grass: 0.0
|
185 |
- Iou Cabinet: nan
|
186 |
- Iou Sidewalk: 0.0
|
187 |
-
- Iou Person: 0.
|
188 |
- Iou Earth: 0.0
|
189 |
- Iou Door: 0.0
|
190 |
- Iou Table: 0.0
|
191 |
-
- Iou Mountain: 0.
|
192 |
- Iou Plant: 0.0
|
193 |
- Iou Curtain: 0.0
|
194 |
-
- Iou Chair:
|
195 |
- Iou Car: 0.0
|
196 |
- Iou Water: 0.0
|
197 |
- Iou Painting: 0.0
|
198 |
- Iou Sofa: 0.0
|
199 |
- Iou Shelf: 0.0
|
200 |
-
- Iou House:
|
201 |
- Iou Sea: 0.0
|
202 |
-
- Iou Mirror:
|
203 |
-
- Iou Rug:
|
204 |
- Iou Field: 0.0
|
205 |
-
- Iou Armchair:
|
206 |
- Iou Seat: 0.0
|
207 |
- Iou Fence: nan
|
208 |
-
- Iou Desk:
|
209 |
- Iou Rock: nan
|
210 |
- Iou Wardrobe: 0.0
|
211 |
- Iou Lamp: nan
|
@@ -216,30 +216,30 @@ It achieves the following results on the evaluation set:
|
|
216 |
- Iou Box: nan
|
217 |
- Iou Column: 0.0
|
218 |
- Iou Signboard: nan
|
219 |
-
- Iou Chest of drawers:
|
220 |
-
- Iou Counter:
|
221 |
- Iou Sand: nan
|
222 |
- Iou Sink: nan
|
223 |
- Iou Skyscraper: 0.0
|
224 |
-
- Iou Fireplace:
|
225 |
-
- Iou Refrigerator:
|
226 |
- Iou Grandstand: 0.0
|
227 |
-
- Iou Path:
|
228 |
-
- Iou Stairs:
|
229 |
- Iou Runway: nan
|
230 |
- Iou Case: nan
|
231 |
- Iou Pool table: nan
|
232 |
- Iou Pillow: nan
|
233 |
- Iou Screen door: 0.0
|
234 |
-
- Iou Stairway:
|
235 |
- Iou River: nan
|
236 |
- Iou Bridge: nan
|
237 |
- Iou Bookcase: nan
|
238 |
-
- Iou Blind:
|
239 |
- Iou Coffee table: nan
|
240 |
- Iou Toilet: 0.0
|
241 |
-
- Iou Flower:
|
242 |
-
- Iou Book:
|
243 |
- Iou Hill: nan
|
244 |
- Iou Bench: nan
|
245 |
- Iou Countertop: nan
|
@@ -253,74 +253,74 @@ It achieves the following results on the evaluation set:
|
|
253 |
- Iou Arcade machine: nan
|
254 |
- Iou Hovel: nan
|
255 |
- Iou Bus: nan
|
256 |
-
- Iou Towel:
|
257 |
-
- Iou Light:
|
258 |
- Iou Truck: nan
|
259 |
-
- Iou Tower:
|
260 |
- Iou Chandelier: 0.0
|
261 |
-
- Iou Awning:
|
262 |
- Iou Streetlight: nan
|
263 |
- Iou Booth: nan
|
264 |
-
- Iou Television receiver:
|
265 |
- Iou Airplane: nan
|
266 |
- Iou Dirt track: nan
|
267 |
-
- Iou Apparel:
|
268 |
- Iou Pole: nan
|
269 |
- Iou Land: 0.0
|
270 |
- Iou Bannister: nan
|
271 |
- Iou Escalator: nan
|
272 |
-
- Iou Ottoman:
|
273 |
-
- Iou Bottle:
|
274 |
-
- Iou Buffet:
|
275 |
-
- Iou Poster:
|
276 |
-
- Iou Stage:
|
277 |
- Iou Van: nan
|
278 |
- Iou Ship: nan
|
279 |
- Iou Fountain: nan
|
280 |
- Iou Conveyer belt: nan
|
281 |
- Iou Canopy: nan
|
282 |
-
- Iou Washer:
|
283 |
- Iou Plaything: nan
|
284 |
- Iou Swimming pool: nan
|
285 |
- Iou Stool: nan
|
286 |
-
- Iou Barrel:
|
287 |
-
- Iou Basket:
|
288 |
- Iou Waterfall: nan
|
289 |
-
- Iou Tent:
|
290 |
- Iou Bag: nan
|
291 |
- Iou Minibike: nan
|
292 |
- Iou Cradle: nan
|
293 |
-
- Iou Oven:
|
294 |
- Iou Ball: nan
|
295 |
- Iou Food: nan
|
296 |
-
- Iou Step:
|
297 |
- Iou Tank: nan
|
298 |
- Iou Trade name: nan
|
299 |
- Iou Microwave: 0.0
|
300 |
-
- Iou Pot:
|
301 |
-
- Iou Animal:
|
302 |
- Iou Bicycle: nan
|
303 |
- Iou Lake: nan
|
304 |
- Iou Dishwasher: nan
|
305 |
-
- Iou Screen:
|
306 |
- Iou Blanket: nan
|
307 |
- Iou Sculpture: nan
|
308 |
-
- Iou Hood:
|
309 |
- Iou Sconce: 0.0
|
310 |
- Iou Vase: nan
|
311 |
- Iou Traffic light: 0.0
|
312 |
-
- Iou Tray:
|
313 |
- Iou Ashcan: nan
|
314 |
- Iou Fan: nan
|
315 |
- Iou Pier: nan
|
316 |
-
- Iou Crt screen:
|
317 |
- Iou Plate: nan
|
318 |
- Iou Monitor: nan
|
319 |
- Iou Bulletin board: nan
|
320 |
- Iou Shower: nan
|
321 |
-
- Iou Radiator:
|
322 |
- Iou Glass: nan
|
323 |
-
- Iou Clock:
|
324 |
- Iou Flag: nan
|
325 |
|
326 |
## Model description
|
@@ -341,8 +341,8 @@ More information needed
|
|
341 |
|
342 |
The following hyperparameters were used during training:
|
343 |
- learning_rate: 0.0005
|
344 |
-
- train_batch_size:
|
345 |
-
- eval_batch_size:
|
346 |
- seed: 42
|
347 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
348 |
- lr_scheduler_type: linear
|
@@ -352,11 +352,11 @@ The following hyperparameters were used during training:
|
|
352 |
|
353 |
| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy Wall | Accuracy Building | Accuracy Sky | Accuracy Floor | Accuracy Tree | Accuracy Ceiling | Accuracy Road | Accuracy Bed | Accuracy Windowpane | Accuracy Grass | Accuracy Cabinet | Accuracy Sidewalk | Accuracy Person | Accuracy Earth | Accuracy Door | Accuracy Table | Accuracy Mountain | Accuracy Plant | Accuracy Curtain | Accuracy Chair | Accuracy Car | Accuracy Water | Accuracy Painting | Accuracy Sofa | Accuracy Shelf | Accuracy House | Accuracy Sea | Accuracy Mirror | Accuracy Rug | Accuracy Field | Accuracy Armchair | Accuracy Seat | Accuracy Fence | Accuracy Desk | Accuracy Rock | Accuracy Wardrobe | Accuracy Lamp | Accuracy Bathtub | Accuracy Railing | Accuracy Cushion | Accuracy Base | Accuracy Box | Accuracy Column | Accuracy Signboard | Accuracy Chest of drawers | Accuracy Counter | Accuracy Sand | Accuracy Sink | Accuracy Skyscraper | Accuracy Fireplace | Accuracy Refrigerator | Accuracy Grandstand | Accuracy Path | Accuracy Stairs | Accuracy Runway | Accuracy Case | Accuracy Pool table | Accuracy Pillow | Accuracy Screen door | Accuracy Stairway | Accuracy River | Accuracy Bridge | Accuracy Bookcase | Accuracy Blind | Accuracy Coffee table | Accuracy Toilet | Accuracy Flower | Accuracy Book | Accuracy Hill | Accuracy Bench | Accuracy Countertop | Accuracy Stove | Accuracy Palm | Accuracy Kitchen island | Accuracy Computer | Accuracy Swivel chair | Accuracy Boat | Accuracy Bar | Accuracy Arcade machine | Accuracy Hovel | Accuracy Bus | Accuracy Towel | Accuracy Light | Accuracy Truck | Accuracy Tower | Accuracy Chandelier | Accuracy Awning | Accuracy Streetlight | Accuracy Booth | Accuracy Television receiver | Accuracy Airplane | Accuracy Dirt track | Accuracy Apparel | Accuracy Pole | Accuracy Land | Accuracy Bannister | Accuracy Escalator | Accuracy Ottoman | Accuracy Bottle | Accuracy Buffet | Accuracy Poster | Accuracy Stage | Accuracy Van | Accuracy Ship | Accuracy Fountain | Accuracy Conveyer belt | Accuracy Canopy | Accuracy Washer | Accuracy Plaything | Accuracy Swimming pool | Accuracy Stool | Accuracy Barrel | Accuracy Basket | Accuracy Waterfall | Accuracy Tent | Accuracy Bag | Accuracy Minibike | Accuracy Cradle | Accuracy Oven | Accuracy Ball | Accuracy Food | Accuracy Step | Accuracy Tank | Accuracy Trade name | Accuracy Microwave | Accuracy Pot | Accuracy Animal | Accuracy Bicycle | Accuracy Lake | Accuracy Dishwasher | Accuracy Screen | Accuracy Blanket | Accuracy Sculpture | Accuracy Hood | Accuracy Sconce | Accuracy Vase | Accuracy Traffic light | Accuracy Tray | Accuracy Ashcan | Accuracy Fan | Accuracy Pier | Accuracy Crt screen | Accuracy Plate | Accuracy Monitor | Accuracy Bulletin board | Accuracy Shower | Accuracy Radiator | Accuracy Glass | Accuracy Clock | Accuracy Flag | Iou Wall | Iou Building | Iou Sky | Iou Floor | Iou Tree | Iou Ceiling | Iou Road | Iou Bed | Iou Windowpane | Iou Grass | Iou Cabinet | Iou Sidewalk | Iou Person | Iou Earth | Iou Door | Iou Table | Iou Mountain | Iou Plant | Iou Curtain | Iou Chair | Iou Car | Iou Water | Iou Painting | Iou Sofa | Iou Shelf | Iou House | Iou Sea | Iou Mirror | Iou Rug | Iou Field | Iou Armchair | Iou Seat | Iou Fence | Iou Desk | Iou Rock | Iou Wardrobe | Iou Lamp | Iou Bathtub | Iou Railing | Iou Cushion | Iou Base | Iou Box | Iou Column | Iou Signboard | Iou Chest of drawers | Iou Counter | Iou Sand | Iou Sink | Iou Skyscraper | Iou Fireplace | Iou Refrigerator | Iou Grandstand | Iou Path | Iou Stairs | Iou Runway | Iou Case | Iou Pool table | Iou Pillow | Iou Screen door | Iou Stairway | Iou River | Iou Bridge | Iou Bookcase | Iou Blind | Iou Coffee table | Iou Toilet | Iou Flower | Iou Book | Iou Hill | Iou Bench | Iou Countertop | Iou Stove | Iou Palm | Iou Kitchen island | Iou Computer | Iou Swivel chair | Iou Boat | Iou Bar | Iou Arcade machine | Iou Hovel | Iou Bus | Iou Towel | Iou Light | Iou Truck | Iou Tower | Iou Chandelier | Iou Awning | Iou Streetlight | Iou Booth | Iou Television receiver | Iou Airplane | Iou Dirt track | Iou Apparel | Iou Pole | Iou Land | Iou Bannister | Iou Escalator | Iou Ottoman | Iou Bottle | Iou Buffet | Iou Poster | Iou Stage | Iou Van | Iou Ship | Iou Fountain | Iou Conveyer belt | Iou Canopy | Iou Washer | Iou Plaything | Iou Swimming pool | Iou Stool | Iou Barrel | Iou Basket | Iou Waterfall | Iou Tent | Iou Bag | Iou Minibike | Iou Cradle | Iou Oven | Iou Ball | Iou Food | Iou Step | Iou Tank | Iou Trade name | Iou Microwave | Iou Pot | Iou Animal | Iou Bicycle | Iou Lake | Iou Dishwasher | Iou Screen | Iou Blanket | Iou Sculpture | Iou Hood | Iou Sconce | Iou Vase | Iou Traffic light | Iou Tray | Iou Ashcan | Iou Fan | Iou Pier | Iou Crt screen | Iou Plate | Iou Monitor | Iou Bulletin board | Iou Shower | Iou Radiator | Iou Glass | Iou Clock | Iou Flag |
|
354 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:-------------:|:-----------------:|:------------:|:--------------:|:-------------:|:----------------:|:-------------:|:-------------:|:-------------------:|:--------------:|:----------------:|:-----------------:|:---------------:|:--------------:|:-------------:|:--------------:|:-----------------:|:--------------:|:----------------:|:--------------:|:------------:|:--------------:|:-----------------:|:-------------:|:--------------:|:--------------:|:------------:|:---------------:|:------------:|:--------------:|:-----------------:|:-------------:|:--------------:|:-------------:|:-------------:|:-----------------:|:-------------:|:----------------:|:----------------:|:----------------:|:-------------:|:------------:|:---------------:|:------------------:|:-------------------------:|:----------------:|:-------------:|:-------------:|:-------------------:|:------------------:|:---------------------:|:-------------------:|:-------------:|:---------------:|:---------------:|:-------------:|:-------------------:|:---------------:|:--------------------:|:-----------------:|:--------------:|:---------------:|:-----------------:|:--------------:|:---------------------:|:---------------:|:---------------:|:-------------:|:-------------:|:--------------:|:-------------------:|:--------------:|:-------------:|:-----------------------:|:-----------------:|:---------------------:|:-------------:|:------------:|:-----------------------:|:--------------:|:------------:|:--------------:|:--------------:|:--------------:|:--------------:|:-------------------:|:---------------:|:--------------------:|:--------------:|:----------------------------:|:-----------------:|:-------------------:|:----------------:|:-------------:|:-------------:|:------------------:|:------------------:|:----------------:|:---------------:|:---------------:|:---------------:|:--------------:|:------------:|:-------------:|:-----------------:|:----------------------:|:---------------:|:---------------:|:------------------:|:----------------------:|:--------------:|:---------------:|:---------------:|:------------------:|:-------------:|:------------:|:-----------------:|:---------------:|:-------------:|:-------------:|:-------------:|:-------------:|:-------------:|:-------------------:|:------------------:|:------------:|:---------------:|:----------------:|:-------------:|:-------------------:|:---------------:|:----------------:|:------------------:|:-------------:|:---------------:|:-------------:|:----------------------:|:-------------:|:---------------:|:------------:|:-------------:|:-------------------:|:--------------:|:----------------:|:-----------------------:|:---------------:|:-----------------:|:--------------:|:--------------:|:-------------:|:--------:|:------------:|:-------:|:---------:|:--------:|:-----------:|:--------:|:--------:|:--------------:|:---------:|:-----------:|:------------:|:----------:|:---------:|:--------:|:---------:|:------------:|:---------:|:-----------:|:---------:|:-------:|:---------:|:------------:|:--------:|:---------:|:---------:|:-------:|:----------:|:-------:|:---------:|:------------:|:--------:|:---------:|:--------:|:--------:|:------------:|:--------:|:-----------:|:-----------:|:-----------:|:--------:|:-------:|:----------:|:-------------:|:--------------------:|:-----------:|:--------:|:--------:|:--------------:|:-------------:|:----------------:|:--------------:|:--------:|:----------:|:----------:|:--------:|:--------------:|:----------:|:---------------:|:------------:|:---------:|:----------:|:------------:|:---------:|:----------------:|:----------:|:----------:|:--------:|:--------:|:---------:|:--------------:|:---------:|:--------:|:------------------:|:------------:|:----------------:|:--------:|:-------:|:------------------:|:---------:|:-------:|:---------:|:---------:|:---------:|:---------:|:--------------:|:----------:|:---------------:|:---------:|:-----------------------:|:------------:|:--------------:|:-----------:|:--------:|:--------:|:-------------:|:-------------:|:-----------:|:----------:|:----------:|:----------:|:---------:|:-------:|:--------:|:------------:|:-----------------:|:----------:|:----------:|:-------------:|:-----------------:|:---------:|:----------:|:----------:|:-------------:|:--------:|:-------:|:------------:|:----------:|:--------:|:--------:|:--------:|:--------:|:--------:|:--------------:|:-------------:|:-------:|:----------:|:-----------:|:--------:|:--------------:|:----------:|:-----------:|:-------------:|:--------:|:----------:|:--------:|:-----------------:|:--------:|:----------:|:-------:|:--------:|:--------------:|:---------:|:-----------:|:------------------:|:----------:|:------------:|:---------:|:---------:|:--------:|
|
355 |
-
|
|
356 |
-
|
|
357 |
-
| 2.
|
358 |
-
| 2.
|
359 |
-
| 2.
|
360 |
|
361 |
|
362 |
### Framework versions
|
|
|
18 |
|
19 |
This model is a fine-tuned version of [nvidia/mit-b0](https://huggingface.co/nvidia/mit-b0) on the scene_parse_150 dataset.
|
20 |
It achieves the following results on the evaluation set:
|
21 |
+
- Loss: 2.3821
|
22 |
+
- Mean Iou: 0.0003
|
23 |
+
- Mean Accuracy: 0.0006
|
24 |
+
- Overall Accuracy: 0.0031
|
25 |
- Accuracy Wall: nan
|
26 |
+
- Accuracy Building: 0.0075
|
27 |
+
- Accuracy Sky: 0.0
|
28 |
+
- Accuracy Floor: 0.0011
|
29 |
- Accuracy Tree: 0.0
|
30 |
- Accuracy Ceiling: 0.0
|
31 |
- Accuracy Road: nan
|
32 |
- Accuracy Bed : 0.0
|
33 |
+
- Accuracy Windowpane: 0.0
|
34 |
- Accuracy Grass: 0.0
|
35 |
- Accuracy Cabinet: nan
|
36 |
- Accuracy Sidewalk: 0.0
|
37 |
+
- Accuracy Person: 0.0224
|
38 |
- Accuracy Earth: 0.0
|
39 |
- Accuracy Door: 0.0
|
40 |
- Accuracy Table: 0.0
|
41 |
+
- Accuracy Mountain: 0.0
|
42 |
- Accuracy Plant: 0.0
|
43 |
- Accuracy Curtain: 0.0
|
44 |
+
- Accuracy Chair: 0.0
|
45 |
- Accuracy Car: 0.0
|
46 |
- Accuracy Water: 0.0
|
47 |
- Accuracy Painting: 0.0
|
48 |
- Accuracy Sofa: 0.0
|
49 |
- Accuracy Shelf: 0.0
|
50 |
+
- Accuracy House: nan
|
51 |
- Accuracy Sea: 0.0
|
52 |
+
- Accuracy Mirror: nan
|
53 |
+
- Accuracy Rug: 0.0
|
54 |
- Accuracy Field: 0.0
|
55 |
+
- Accuracy Armchair: 0.0
|
56 |
- Accuracy Seat: 0.0
|
57 |
- Accuracy Fence: nan
|
58 |
+
- Accuracy Desk: 0.0
|
59 |
- Accuracy Rock: nan
|
60 |
- Accuracy Wardrobe: 0.0
|
61 |
- Accuracy Lamp: nan
|
|
|
66 |
- Accuracy Box: nan
|
67 |
- Accuracy Column: 0.0
|
68 |
- Accuracy Signboard: nan
|
69 |
+
- Accuracy Chest of drawers: 0.0
|
70 |
+
- Accuracy Counter: nan
|
71 |
- Accuracy Sand: nan
|
72 |
- Accuracy Sink: nan
|
73 |
- Accuracy Skyscraper: 0.0
|
74 |
+
- Accuracy Fireplace: nan
|
75 |
+
- Accuracy Refrigerator: 0.0
|
76 |
- Accuracy Grandstand: 0.0
|
77 |
+
- Accuracy Path: 0.0
|
78 |
+
- Accuracy Stairs: 0.0
|
79 |
- Accuracy Runway: nan
|
80 |
- Accuracy Case: nan
|
81 |
- Accuracy Pool table: nan
|
82 |
- Accuracy Pillow: nan
|
83 |
- Accuracy Screen door: 0.0
|
84 |
+
- Accuracy Stairway: nan
|
85 |
- Accuracy River: nan
|
86 |
- Accuracy Bridge: nan
|
87 |
- Accuracy Bookcase: nan
|
88 |
+
- Accuracy Blind: 0.0
|
89 |
- Accuracy Coffee table: nan
|
90 |
- Accuracy Toilet: 0.0
|
91 |
+
- Accuracy Flower: nan
|
92 |
+
- Accuracy Book: 0.0
|
93 |
- Accuracy Hill: nan
|
94 |
- Accuracy Bench: nan
|
95 |
- Accuracy Countertop: nan
|
|
|
103 |
- Accuracy Arcade machine: nan
|
104 |
- Accuracy Hovel: nan
|
105 |
- Accuracy Bus: nan
|
106 |
+
- Accuracy Towel: nan
|
107 |
+
- Accuracy Light: 0.0
|
108 |
- Accuracy Truck: nan
|
109 |
+
- Accuracy Tower: nan
|
110 |
- Accuracy Chandelier: 0.0
|
111 |
+
- Accuracy Awning: nan
|
112 |
- Accuracy Streetlight: nan
|
113 |
- Accuracy Booth: nan
|
114 |
+
- Accuracy Television receiver: 0.0
|
115 |
- Accuracy Airplane: nan
|
116 |
- Accuracy Dirt track: nan
|
117 |
+
- Accuracy Apparel: 0.0
|
118 |
- Accuracy Pole: nan
|
119 |
- Accuracy Land: 0.0
|
120 |
- Accuracy Bannister: nan
|
121 |
- Accuracy Escalator: nan
|
122 |
+
- Accuracy Ottoman: nan
|
123 |
+
- Accuracy Bottle: nan
|
124 |
+
- Accuracy Buffet: nan
|
125 |
+
- Accuracy Poster: 0.0
|
126 |
+
- Accuracy Stage: 0.0
|
127 |
- Accuracy Van: nan
|
128 |
- Accuracy Ship: nan
|
129 |
- Accuracy Fountain: nan
|
130 |
- Accuracy Conveyer belt: nan
|
131 |
- Accuracy Canopy: nan
|
132 |
+
- Accuracy Washer: nan
|
133 |
- Accuracy Plaything: nan
|
134 |
- Accuracy Swimming pool: nan
|
135 |
- Accuracy Stool: nan
|
136 |
+
- Accuracy Barrel: nan
|
137 |
+
- Accuracy Basket: 0.0
|
138 |
- Accuracy Waterfall: nan
|
139 |
+
- Accuracy Tent: nan
|
140 |
- Accuracy Bag: nan
|
141 |
- Accuracy Minibike: nan
|
142 |
- Accuracy Cradle: nan
|
143 |
+
- Accuracy Oven: nan
|
144 |
- Accuracy Ball: nan
|
145 |
- Accuracy Food: nan
|
146 |
+
- Accuracy Step: nan
|
147 |
- Accuracy Tank: nan
|
148 |
- Accuracy Trade name: nan
|
149 |
- Accuracy Microwave: 0.0
|
150 |
+
- Accuracy Pot: nan
|
151 |
+
- Accuracy Animal: nan
|
152 |
- Accuracy Bicycle: nan
|
153 |
- Accuracy Lake: nan
|
154 |
- Accuracy Dishwasher: nan
|
155 |
+
- Accuracy Screen: nan
|
156 |
- Accuracy Blanket: nan
|
157 |
- Accuracy Sculpture: nan
|
158 |
+
- Accuracy Hood: nan
|
159 |
- Accuracy Sconce: 0.0
|
160 |
- Accuracy Vase: nan
|
161 |
- Accuracy Traffic light: 0.0
|
162 |
+
- Accuracy Tray: nan
|
163 |
- Accuracy Ashcan: nan
|
164 |
- Accuracy Fan: nan
|
165 |
- Accuracy Pier: nan
|
166 |
+
- Accuracy Crt screen: nan
|
167 |
- Accuracy Plate: nan
|
168 |
- Accuracy Monitor: nan
|
169 |
- Accuracy Bulletin board: nan
|
170 |
- Accuracy Shower: nan
|
171 |
+
- Accuracy Radiator: nan
|
172 |
- Accuracy Glass: nan
|
173 |
+
- Accuracy Clock: nan
|
174 |
- Accuracy Flag: nan
|
175 |
- Iou Wall: 0.0
|
176 |
+
- Iou Building: 0.0056
|
177 |
+
- Iou Sky: 0.0
|
178 |
+
- Iou Floor: 0.0006
|
179 |
- Iou Tree: 0.0
|
180 |
- Iou Ceiling: 0.0
|
181 |
- Iou Road: 0.0
|
182 |
- Iou Bed : 0.0
|
183 |
+
- Iou Windowpane: 0.0
|
184 |
- Iou Grass: 0.0
|
185 |
- Iou Cabinet: nan
|
186 |
- Iou Sidewalk: 0.0
|
187 |
+
- Iou Person: 0.0135
|
188 |
- Iou Earth: 0.0
|
189 |
- Iou Door: 0.0
|
190 |
- Iou Table: 0.0
|
191 |
+
- Iou Mountain: 0.0
|
192 |
- Iou Plant: 0.0
|
193 |
- Iou Curtain: 0.0
|
194 |
+
- Iou Chair: 0.0
|
195 |
- Iou Car: 0.0
|
196 |
- Iou Water: 0.0
|
197 |
- Iou Painting: 0.0
|
198 |
- Iou Sofa: 0.0
|
199 |
- Iou Shelf: 0.0
|
200 |
+
- Iou House: nan
|
201 |
- Iou Sea: 0.0
|
202 |
+
- Iou Mirror: nan
|
203 |
+
- Iou Rug: 0.0
|
204 |
- Iou Field: 0.0
|
205 |
+
- Iou Armchair: 0.0
|
206 |
- Iou Seat: 0.0
|
207 |
- Iou Fence: nan
|
208 |
+
- Iou Desk: 0.0
|
209 |
- Iou Rock: nan
|
210 |
- Iou Wardrobe: 0.0
|
211 |
- Iou Lamp: nan
|
|
|
216 |
- Iou Box: nan
|
217 |
- Iou Column: 0.0
|
218 |
- Iou Signboard: nan
|
219 |
+
- Iou Chest of drawers: 0.0
|
220 |
+
- Iou Counter: nan
|
221 |
- Iou Sand: nan
|
222 |
- Iou Sink: nan
|
223 |
- Iou Skyscraper: 0.0
|
224 |
+
- Iou Fireplace: nan
|
225 |
+
- Iou Refrigerator: 0.0
|
226 |
- Iou Grandstand: 0.0
|
227 |
+
- Iou Path: 0.0
|
228 |
+
- Iou Stairs: 0.0
|
229 |
- Iou Runway: nan
|
230 |
- Iou Case: nan
|
231 |
- Iou Pool table: nan
|
232 |
- Iou Pillow: nan
|
233 |
- Iou Screen door: 0.0
|
234 |
+
- Iou Stairway: nan
|
235 |
- Iou River: nan
|
236 |
- Iou Bridge: nan
|
237 |
- Iou Bookcase: nan
|
238 |
+
- Iou Blind: 0.0
|
239 |
- Iou Coffee table: nan
|
240 |
- Iou Toilet: 0.0
|
241 |
+
- Iou Flower: nan
|
242 |
+
- Iou Book: 0.0
|
243 |
- Iou Hill: nan
|
244 |
- Iou Bench: nan
|
245 |
- Iou Countertop: nan
|
|
|
253 |
- Iou Arcade machine: nan
|
254 |
- Iou Hovel: nan
|
255 |
- Iou Bus: nan
|
256 |
+
- Iou Towel: nan
|
257 |
+
- Iou Light: 0.0
|
258 |
- Iou Truck: nan
|
259 |
+
- Iou Tower: nan
|
260 |
- Iou Chandelier: 0.0
|
261 |
+
- Iou Awning: nan
|
262 |
- Iou Streetlight: nan
|
263 |
- Iou Booth: nan
|
264 |
+
- Iou Television receiver: 0.0
|
265 |
- Iou Airplane: nan
|
266 |
- Iou Dirt track: nan
|
267 |
+
- Iou Apparel: 0.0
|
268 |
- Iou Pole: nan
|
269 |
- Iou Land: 0.0
|
270 |
- Iou Bannister: nan
|
271 |
- Iou Escalator: nan
|
272 |
+
- Iou Ottoman: nan
|
273 |
+
- Iou Bottle: nan
|
274 |
+
- Iou Buffet: nan
|
275 |
+
- Iou Poster: 0.0
|
276 |
+
- Iou Stage: 0.0
|
277 |
- Iou Van: nan
|
278 |
- Iou Ship: nan
|
279 |
- Iou Fountain: nan
|
280 |
- Iou Conveyer belt: nan
|
281 |
- Iou Canopy: nan
|
282 |
+
- Iou Washer: nan
|
283 |
- Iou Plaything: nan
|
284 |
- Iou Swimming pool: nan
|
285 |
- Iou Stool: nan
|
286 |
+
- Iou Barrel: nan
|
287 |
+
- Iou Basket: 0.0
|
288 |
- Iou Waterfall: nan
|
289 |
+
- Iou Tent: nan
|
290 |
- Iou Bag: nan
|
291 |
- Iou Minibike: nan
|
292 |
- Iou Cradle: nan
|
293 |
+
- Iou Oven: nan
|
294 |
- Iou Ball: nan
|
295 |
- Iou Food: nan
|
296 |
+
- Iou Step: nan
|
297 |
- Iou Tank: nan
|
298 |
- Iou Trade name: nan
|
299 |
- Iou Microwave: 0.0
|
300 |
+
- Iou Pot: nan
|
301 |
+
- Iou Animal: nan
|
302 |
- Iou Bicycle: nan
|
303 |
- Iou Lake: nan
|
304 |
- Iou Dishwasher: nan
|
305 |
+
- Iou Screen: nan
|
306 |
- Iou Blanket: nan
|
307 |
- Iou Sculpture: nan
|
308 |
+
- Iou Hood: nan
|
309 |
- Iou Sconce: 0.0
|
310 |
- Iou Vase: nan
|
311 |
- Iou Traffic light: 0.0
|
312 |
+
- Iou Tray: nan
|
313 |
- Iou Ashcan: nan
|
314 |
- Iou Fan: nan
|
315 |
- Iou Pier: nan
|
316 |
+
- Iou Crt screen: nan
|
317 |
- Iou Plate: nan
|
318 |
- Iou Monitor: nan
|
319 |
- Iou Bulletin board: nan
|
320 |
- Iou Shower: nan
|
321 |
+
- Iou Radiator: nan
|
322 |
- Iou Glass: nan
|
323 |
+
- Iou Clock: nan
|
324 |
- Iou Flag: nan
|
325 |
|
326 |
## Model description
|
|
|
341 |
|
342 |
The following hyperparameters were used during training:
|
343 |
- learning_rate: 0.0005
|
344 |
+
- train_batch_size: 8
|
345 |
+
- eval_batch_size: 8
|
346 |
- seed: 42
|
347 |
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
348 |
- lr_scheduler_type: linear
|
|
|
352 |
|
353 |
| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy Wall | Accuracy Building | Accuracy Sky | Accuracy Floor | Accuracy Tree | Accuracy Ceiling | Accuracy Road | Accuracy Bed | Accuracy Windowpane | Accuracy Grass | Accuracy Cabinet | Accuracy Sidewalk | Accuracy Person | Accuracy Earth | Accuracy Door | Accuracy Table | Accuracy Mountain | Accuracy Plant | Accuracy Curtain | Accuracy Chair | Accuracy Car | Accuracy Water | Accuracy Painting | Accuracy Sofa | Accuracy Shelf | Accuracy House | Accuracy Sea | Accuracy Mirror | Accuracy Rug | Accuracy Field | Accuracy Armchair | Accuracy Seat | Accuracy Fence | Accuracy Desk | Accuracy Rock | Accuracy Wardrobe | Accuracy Lamp | Accuracy Bathtub | Accuracy Railing | Accuracy Cushion | Accuracy Base | Accuracy Box | Accuracy Column | Accuracy Signboard | Accuracy Chest of drawers | Accuracy Counter | Accuracy Sand | Accuracy Sink | Accuracy Skyscraper | Accuracy Fireplace | Accuracy Refrigerator | Accuracy Grandstand | Accuracy Path | Accuracy Stairs | Accuracy Runway | Accuracy Case | Accuracy Pool table | Accuracy Pillow | Accuracy Screen door | Accuracy Stairway | Accuracy River | Accuracy Bridge | Accuracy Bookcase | Accuracy Blind | Accuracy Coffee table | Accuracy Toilet | Accuracy Flower | Accuracy Book | Accuracy Hill | Accuracy Bench | Accuracy Countertop | Accuracy Stove | Accuracy Palm | Accuracy Kitchen island | Accuracy Computer | Accuracy Swivel chair | Accuracy Boat | Accuracy Bar | Accuracy Arcade machine | Accuracy Hovel | Accuracy Bus | Accuracy Towel | Accuracy Light | Accuracy Truck | Accuracy Tower | Accuracy Chandelier | Accuracy Awning | Accuracy Streetlight | Accuracy Booth | Accuracy Television receiver | Accuracy Airplane | Accuracy Dirt track | Accuracy Apparel | Accuracy Pole | Accuracy Land | Accuracy Bannister | Accuracy Escalator | Accuracy Ottoman | Accuracy Bottle | Accuracy Buffet | Accuracy Poster | Accuracy Stage | Accuracy Van | Accuracy Ship | Accuracy Fountain | Accuracy Conveyer belt | Accuracy Canopy | Accuracy Washer | Accuracy Plaything | Accuracy Swimming pool | Accuracy Stool | Accuracy Barrel | Accuracy Basket | Accuracy Waterfall | Accuracy Tent | Accuracy Bag | Accuracy Minibike | Accuracy Cradle | Accuracy Oven | Accuracy Ball | Accuracy Food | Accuracy Step | Accuracy Tank | Accuracy Trade name | Accuracy Microwave | Accuracy Pot | Accuracy Animal | Accuracy Bicycle | Accuracy Lake | Accuracy Dishwasher | Accuracy Screen | Accuracy Blanket | Accuracy Sculpture | Accuracy Hood | Accuracy Sconce | Accuracy Vase | Accuracy Traffic light | Accuracy Tray | Accuracy Ashcan | Accuracy Fan | Accuracy Pier | Accuracy Crt screen | Accuracy Plate | Accuracy Monitor | Accuracy Bulletin board | Accuracy Shower | Accuracy Radiator | Accuracy Glass | Accuracy Clock | Accuracy Flag | Iou Wall | Iou Building | Iou Sky | Iou Floor | Iou Tree | Iou Ceiling | Iou Road | Iou Bed | Iou Windowpane | Iou Grass | Iou Cabinet | Iou Sidewalk | Iou Person | Iou Earth | Iou Door | Iou Table | Iou Mountain | Iou Plant | Iou Curtain | Iou Chair | Iou Car | Iou Water | Iou Painting | Iou Sofa | Iou Shelf | Iou House | Iou Sea | Iou Mirror | Iou Rug | Iou Field | Iou Armchair | Iou Seat | Iou Fence | Iou Desk | Iou Rock | Iou Wardrobe | Iou Lamp | Iou Bathtub | Iou Railing | Iou Cushion | Iou Base | Iou Box | Iou Column | Iou Signboard | Iou Chest of drawers | Iou Counter | Iou Sand | Iou Sink | Iou Skyscraper | Iou Fireplace | Iou Refrigerator | Iou Grandstand | Iou Path | Iou Stairs | Iou Runway | Iou Case | Iou Pool table | Iou Pillow | Iou Screen door | Iou Stairway | Iou River | Iou Bridge | Iou Bookcase | Iou Blind | Iou Coffee table | Iou Toilet | Iou Flower | Iou Book | Iou Hill | Iou Bench | Iou Countertop | Iou Stove | Iou Palm | Iou Kitchen island | Iou Computer | Iou Swivel chair | Iou Boat | Iou Bar | Iou Arcade machine | Iou Hovel | Iou Bus | Iou Towel | Iou Light | Iou Truck | Iou Tower | Iou Chandelier | Iou Awning | Iou Streetlight | Iou Booth | Iou Television receiver | Iou Airplane | Iou Dirt track | Iou Apparel | Iou Pole | Iou Land | Iou Bannister | Iou Escalator | Iou Ottoman | Iou Bottle | Iou Buffet | Iou Poster | Iou Stage | Iou Van | Iou Ship | Iou Fountain | Iou Conveyer belt | Iou Canopy | Iou Washer | Iou Plaything | Iou Swimming pool | Iou Stool | Iou Barrel | Iou Basket | Iou Waterfall | Iou Tent | Iou Bag | Iou Minibike | Iou Cradle | Iou Oven | Iou Ball | Iou Food | Iou Step | Iou Tank | Iou Trade name | Iou Microwave | Iou Pot | Iou Animal | Iou Bicycle | Iou Lake | Iou Dishwasher | Iou Screen | Iou Blanket | Iou Sculpture | Iou Hood | Iou Sconce | Iou Vase | Iou Traffic light | Iou Tray | Iou Ashcan | Iou Fan | Iou Pier | Iou Crt screen | Iou Plate | Iou Monitor | Iou Bulletin board | Iou Shower | Iou Radiator | Iou Glass | Iou Clock | Iou Flag |
|
354 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:-------------:|:-----------------:|:------------:|:--------------:|:-------------:|:----------------:|:-------------:|:-------------:|:-------------------:|:--------------:|:----------------:|:-----------------:|:---------------:|:--------------:|:-------------:|:--------------:|:-----------------:|:--------------:|:----------------:|:--------------:|:------------:|:--------------:|:-----------------:|:-------------:|:--------------:|:--------------:|:------------:|:---------------:|:------------:|:--------------:|:-----------------:|:-------------:|:--------------:|:-------------:|:-------------:|:-----------------:|:-------------:|:----------------:|:----------------:|:----------------:|:-------------:|:------------:|:---------------:|:------------------:|:-------------------------:|:----------------:|:-------------:|:-------------:|:-------------------:|:------------------:|:---------------------:|:-------------------:|:-------------:|:---------------:|:---------------:|:-------------:|:-------------------:|:---------------:|:--------------------:|:-----------------:|:--------------:|:---------------:|:-----------------:|:--------------:|:---------------------:|:---------------:|:---------------:|:-------------:|:-------------:|:--------------:|:-------------------:|:--------------:|:-------------:|:-----------------------:|:-----------------:|:---------------------:|:-------------:|:------------:|:-----------------------:|:--------------:|:------------:|:--------------:|:--------------:|:--------------:|:--------------:|:-------------------:|:---------------:|:--------------------:|:--------------:|:----------------------------:|:-----------------:|:-------------------:|:----------------:|:-------------:|:-------------:|:------------------:|:------------------:|:----------------:|:---------------:|:---------------:|:---------------:|:--------------:|:------------:|:-------------:|:-----------------:|:----------------------:|:---------------:|:---------------:|:------------------:|:----------------------:|:--------------:|:---------------:|:---------------:|:------------------:|:-------------:|:------------:|:-----------------:|:---------------:|:-------------:|:-------------:|:-------------:|:-------------:|:-------------:|:-------------------:|:------------------:|:------------:|:---------------:|:----------------:|:-------------:|:-------------------:|:---------------:|:----------------:|:------------------:|:-------------:|:---------------:|:-------------:|:----------------------:|:-------------:|:---------------:|:------------:|:-------------:|:-------------------:|:--------------:|:----------------:|:-----------------------:|:---------------:|:-----------------:|:--------------:|:--------------:|:-------------:|:--------:|:------------:|:-------:|:---------:|:--------:|:-----------:|:--------:|:--------:|:--------------:|:---------:|:-----------:|:------------:|:----------:|:---------:|:--------:|:---------:|:------------:|:---------:|:-----------:|:---------:|:-------:|:---------:|:------------:|:--------:|:---------:|:---------:|:-------:|:----------:|:-------:|:---------:|:------------:|:--------:|:---------:|:--------:|:--------:|:------------:|:--------:|:-----------:|:-----------:|:-----------:|:--------:|:-------:|:----------:|:-------------:|:--------------------:|:-----------:|:--------:|:--------:|:--------------:|:-------------:|:----------------:|:--------------:|:--------:|:----------:|:----------:|:--------:|:--------------:|:----------:|:---------------:|:------------:|:---------:|:----------:|:------------:|:---------:|:----------------:|:----------:|:----------:|:--------:|:--------:|:---------:|:--------------:|:---------:|:--------:|:------------------:|:------------:|:----------------:|:--------:|:-------:|:------------------:|:---------:|:-------:|:---------:|:---------:|:---------:|:---------:|:--------------:|:----------:|:---------------:|:---------:|:-----------------------:|:------------:|:--------------:|:-----------:|:--------:|:--------:|:-------------:|:-------------:|:-----------:|:----------:|:----------:|:----------:|:---------:|:-------:|:--------:|:------------:|:-----------------:|:----------:|:----------:|:-------------:|:-----------------:|:---------:|:----------:|:----------:|:-------------:|:--------:|:-------:|:------------:|:----------:|:--------:|:--------:|:--------:|:--------:|:--------:|:--------------:|:-------------:|:-------:|:----------:|:-----------:|:--------:|:--------------:|:----------:|:-----------:|:-------------:|:--------:|:----------:|:--------:|:-----------------:|:--------:|:----------:|:-------:|:--------:|:--------------:|:---------:|:-----------:|:------------------:|:----------:|:------------:|:---------:|:---------:|:--------:|
|
355 |
+
| 4.0785 | 1.0 | 17 | 4.2093 | 0.0002 | 0.0003 | 0.0027 | nan | 0.0116 | 0.0003 | 0.0012 | 0.0011 | 0.0005 | nan | 0.0003 | 0.0 | 0.0 | nan | 0.0 | 0.0030 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.0 | nan | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.0 | nan | 0.0 | nan | nan | nan | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | nan | nan | nan | nan | 0.0 | nan | nan | nan | nan | 0.0 | nan | 0.0 | nan | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.0 | nan | nan | 0.0 | nan | nan | nan | 0.0 | nan | nan | 0.0 | nan | 0.0 | nan | nan | nan | nan | nan | 0.0 | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.0 | nan | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.0 | 0.0087 | 0.0000 | 0.0008 | 0.0001 | 0.0004 | 0.0 | 0.0003 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0025 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.0 | nan | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.0 | nan | 0.0 | nan | nan | nan | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | nan | nan | nan | nan | 0.0 | nan | nan | nan | nan | 0.0 | nan | 0.0 | nan | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.0 | nan | nan | 0.0 | nan | nan | nan | 0.0 | nan | nan | 0.0 | nan | 0.0 | nan | nan | nan | nan | nan | 0.0 | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.0 | nan | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
|
356 |
+
| 3.2614 | 2.0 | 34 | 2.8627 | 0.0002 | 0.0002 | 0.0019 | nan | 0.0074 | 0.0 | 0.0018 | 0.0001 | 0.0 | nan | 0.0 | 0.0 | 0.0 | nan | 0.0 | 0.0028 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.0 | nan | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.0 | nan | 0.0 | nan | nan | nan | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | nan | nan | nan | nan | 0.0 | nan | nan | nan | nan | 0.0 | nan | 0.0 | nan | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.0 | nan | nan | 0.0 | nan | nan | nan | 0.0 | nan | nan | 0.0 | nan | 0.0 | nan | nan | nan | nan | nan | 0.0 | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.0 | nan | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.0 | 0.0056 | 0.0 | 0.0010 | 0.0000 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.0 | 0.0021 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.0 | nan | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.0 | nan | 0.0 | nan | nan | nan | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | nan | nan | nan | nan | 0.0 | nan | nan | nan | nan | 0.0 | nan | 0.0 | nan | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.0 | nan | nan | 0.0 | nan | nan | nan | 0.0 | nan | nan | 0.0 | nan | 0.0 | nan | nan | nan | nan | nan | 0.0 | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.0 | nan | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
|
357 |
+
| 2.5966 | 3.0 | 51 | 2.5529 | 0.0002 | 0.0003 | 0.0020 | nan | 0.0056 | 0.0 | 0.0010 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | nan | 0.0 | 0.0107 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.0 | nan | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.0 | nan | 0.0 | nan | nan | nan | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | nan | nan | nan | nan | 0.0 | nan | nan | nan | nan | 0.0 | nan | 0.0 | nan | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.0 | nan | nan | 0.0 | nan | nan | nan | 0.0 | nan | nan | 0.0 | nan | 0.0 | nan | nan | nan | nan | nan | 0.0 | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.0 | nan | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.0 | 0.0042 | 0.0 | 0.0006 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.0 | 0.0070 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.0 | nan | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.0 | nan | 0.0 | nan | nan | nan | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | nan | nan | nan | nan | 0.0 | nan | nan | nan | nan | 0.0 | nan | 0.0 | nan | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.0 | nan | nan | 0.0 | nan | nan | nan | 0.0 | nan | nan | 0.0 | nan | 0.0 | nan | nan | nan | nan | nan | 0.0 | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.0 | nan | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
|
358 |
+
| 2.5427 | 4.0 | 68 | 2.4036 | 0.0003 | 0.0005 | 0.0025 | nan | 0.0060 | 0.0 | 0.0005 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | nan | 0.0 | 0.0185 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.0 | nan | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.0 | nan | 0.0 | nan | nan | nan | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | nan | nan | nan | nan | 0.0 | nan | nan | nan | nan | 0.0 | nan | 0.0 | nan | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.0 | nan | nan | 0.0 | nan | nan | nan | 0.0 | nan | nan | 0.0 | nan | 0.0 | nan | nan | nan | nan | nan | 0.0 | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.0 | nan | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.0 | 0.0046 | 0.0 | 0.0003 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.0 | 0.0114 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.0 | nan | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.0 | nan | 0.0 | nan | nan | nan | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | nan | nan | nan | nan | 0.0 | nan | nan | nan | nan | 0.0 | nan | 0.0 | nan | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.0 | nan | nan | 0.0 | nan | nan | nan | 0.0 | nan | nan | 0.0 | nan | 0.0 | nan | nan | nan | nan | nan | 0.0 | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.0 | nan | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
|
359 |
+
| 2.3561 | 5.0 | 85 | 2.3821 | 0.0003 | 0.0006 | 0.0031 | nan | 0.0075 | 0.0 | 0.0011 | 0.0 | 0.0 | nan | 0.0 | 0.0 | 0.0 | nan | 0.0 | 0.0224 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.0 | nan | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.0 | nan | 0.0 | nan | nan | nan | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | nan | nan | nan | nan | 0.0 | nan | nan | nan | nan | 0.0 | nan | 0.0 | nan | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.0 | nan | nan | 0.0 | nan | nan | nan | 0.0 | nan | nan | 0.0 | nan | 0.0 | nan | nan | nan | nan | nan | 0.0 | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.0 | nan | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.0 | 0.0056 | 0.0 | 0.0006 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.0 | 0.0135 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.0 | nan | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | nan | 0.0 | nan | 0.0 | nan | nan | nan | 0.0 | nan | 0.0 | 0.0 | 0.0 | 0.0 | nan | nan | nan | nan | 0.0 | nan | nan | nan | nan | 0.0 | nan | 0.0 | nan | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.0 | nan | nan | 0.0 | nan | nan | nan | 0.0 | nan | nan | 0.0 | nan | 0.0 | nan | nan | nan | nan | nan | 0.0 | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | nan | 0.0 | nan | 0.0 | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan | nan |
|
360 |
|
361 |
|
362 |
### Framework versions
|
adapter_config.json
CHANGED
@@ -12,7 +12,7 @@
|
|
12 |
"layers_pattern": null,
|
13 |
"layers_to_transform": null,
|
14 |
"loftq_config": {},
|
15 |
-
"lora_alpha":
|
16 |
"lora_dropout": 0.1,
|
17 |
"megatron_config": null,
|
18 |
"megatron_core": "megatron.core",
|
@@ -20,12 +20,12 @@
|
|
20 |
"decode_head"
|
21 |
],
|
22 |
"peft_type": "LORA",
|
23 |
-
"r":
|
24 |
"rank_pattern": {},
|
25 |
"revision": null,
|
26 |
"target_modules": [
|
27 |
-
"
|
28 |
-
"
|
29 |
],
|
30 |
"task_type": null
|
31 |
}
|
|
|
12 |
"layers_pattern": null,
|
13 |
"layers_to_transform": null,
|
14 |
"loftq_config": {},
|
15 |
+
"lora_alpha": 32,
|
16 |
"lora_dropout": 0.1,
|
17 |
"megatron_config": null,
|
18 |
"megatron_core": "megatron.core",
|
|
|
20 |
"decode_head"
|
21 |
],
|
22 |
"peft_type": "LORA",
|
23 |
+
"r": 32,
|
24 |
"rank_pattern": {},
|
25 |
"revision": null,
|
26 |
"target_modules": [
|
27 |
+
"query",
|
28 |
+
"value"
|
29 |
],
|
30 |
"task_type": null
|
31 |
}
|
adapter_model.safetensors
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
-
size
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:40c70960d171ab2d9bfdbfecf66415a5c55946a0bcde6909ecbc61f8f15bb257
|
3 |
+
size 2266120
|
training_args.bin
CHANGED
@@ -1,3 +1,3 @@
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
-
oid sha256:
|
3 |
size 4347
|
|
|
1 |
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:63a99e8daec455004133c6f25a179100d3eee0a9ceddf5ee54fb6a7ca4cb2ae5
|
3 |
size 4347
|