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End of training

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  1. README.md +233 -93
  2. model.safetensors +1 -1
README.md CHANGED
@@ -1,8 +1,8 @@
1
  ---
2
  license: apache-2.0
 
3
  tags:
4
  - generated_from_trainer
5
- base_model: google/t5-efficient-tiny
6
  model-index:
7
  - name: salt_language_ID
8
  results: []
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
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16
  This model is a fine-tuned version of [google/t5-efficient-tiny](https://huggingface.co/google/t5-efficient-tiny) on an unknown dataset.
17
  It achieves the following results on the evaluation set:
18
- - Loss: 0.0523
19
 
20
  ## Model description
21
 
@@ -43,7 +43,7 @@ The following hyperparameters were used during training:
43
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
44
  - lr_scheduler_type: linear
45
  - lr_scheduler_warmup_steps: 500
46
- - num_epochs: 1
47
 
48
  ### Training results
49
 
@@ -99,96 +99,236 @@ The following hyperparameters were used during training:
99
  | 0.739 | 0.34 | 480 | 0.1385 |
100
  | 0.6355 | 0.35 | 490 | 0.4408 |
101
  | 0.8578 | 0.36 | 500 | 0.1109 |
102
- | 0.758 | 0.36 | 510 | 0.1393 |
103
- | 0.5958 | 0.37 | 520 | 0.1510 |
104
- | 0.591 | 0.38 | 530 | 0.1199 |
105
- | 0.6605 | 0.38 | 540 | 0.2369 |
106
- | 0.6788 | 0.39 | 550 | 0.1469 |
107
- | 0.5533 | 0.4 | 560 | 0.1505 |
108
- | 0.517 | 0.41 | 570 | 0.1881 |
109
- | 0.5682 | 0.41 | 580 | 0.1808 |
110
- | 0.592 | 0.42 | 590 | 0.2145 |
111
- | 0.4944 | 0.43 | 600 | 0.0838 |
112
- | 0.4257 | 0.43 | 610 | 0.2627 |
113
- | 0.4852 | 0.44 | 620 | 0.1266 |
114
- | 0.457 | 0.45 | 630 | 0.1091 |
115
- | 0.5455 | 0.46 | 640 | 0.1685 |
116
- | 0.5514 | 0.46 | 650 | 0.0978 |
117
- | 0.5117 | 0.47 | 660 | 0.1249 |
118
- | 0.4067 | 0.48 | 670 | 0.0845 |
119
- | 0.3931 | 0.48 | 680 | 0.1590 |
120
- | 0.4459 | 0.49 | 690 | 0.1579 |
121
- | 0.3834 | 0.5 | 700 | 0.0723 |
122
- | 0.4204 | 0.51 | 710 | 0.1741 |
123
- | 0.3586 | 0.51 | 720 | 0.0758 |
124
- | 0.4346 | 0.52 | 730 | 0.1412 |
125
- | 0.3643 | 0.53 | 740 | 0.0911 |
126
- | 0.3513 | 0.53 | 750 | 0.1685 |
127
- | 0.3544 | 0.54 | 760 | 0.0671 |
128
- | 0.3327 | 0.55 | 770 | 0.2027 |
129
- | 0.3361 | 0.56 | 780 | 0.0781 |
130
- | 0.2818 | 0.56 | 790 | 0.1254 |
131
- | 0.3959 | 0.57 | 800 | 0.0609 |
132
- | 0.3416 | 0.58 | 810 | 0.2034 |
133
- | 0.3283 | 0.58 | 820 | 0.0913 |
134
- | 0.2884 | 0.59 | 830 | 0.1646 |
135
- | 0.3753 | 0.6 | 840 | 0.1290 |
136
- | 0.3436 | 0.61 | 850 | 0.1186 |
137
- | 0.2789 | 0.61 | 860 | 0.1103 |
138
- | 0.3437 | 0.62 | 870 | 0.0744 |
139
- | 0.2594 | 0.63 | 880 | 0.0608 |
140
- | 0.3105 | 0.63 | 890 | 0.0623 |
141
- | 0.3247 | 0.64 | 900 | 0.0801 |
142
- | 0.3111 | 0.65 | 910 | 0.0721 |
143
- | 0.2956 | 0.66 | 920 | 0.0617 |
144
- | 0.2971 | 0.66 | 930 | 0.1223 |
145
- | 0.2329 | 0.67 | 940 | 0.0652 |
146
- | 0.2615 | 0.68 | 950 | 0.0768 |
147
- | 0.2812 | 0.68 | 960 | 0.0735 |
148
- | 0.2756 | 0.69 | 970 | 0.0572 |
149
- | 0.201 | 0.7 | 980 | 0.0582 |
150
- | 0.2462 | 0.71 | 990 | 0.0830 |
151
- | 0.2597 | 0.71 | 1000 | 0.0510 |
152
- | 0.2546 | 0.72 | 1010 | 0.0990 |
153
- | 0.2765 | 0.73 | 1020 | 0.0718 |
154
- | 0.1772 | 0.73 | 1030 | 0.0505 |
155
- | 0.2669 | 0.74 | 1040 | 0.0916 |
156
- | 0.2215 | 0.75 | 1050 | 0.0609 |
157
- | 0.2295 | 0.76 | 1060 | 0.0799 |
158
- | 0.2413 | 0.76 | 1070 | 0.0573 |
159
- | 0.2022 | 0.77 | 1080 | 0.0636 |
160
- | 0.2539 | 0.78 | 1090 | 0.1083 |
161
- | 0.2061 | 0.78 | 1100 | 0.0570 |
162
- | 0.2561 | 0.79 | 1110 | 0.0522 |
163
- | 0.2606 | 0.8 | 1120 | 0.0721 |
164
- | 0.2368 | 0.81 | 1130 | 0.0514 |
165
- | 0.2789 | 0.81 | 1140 | 0.0557 |
166
- | 0.1802 | 0.82 | 1150 | 0.0945 |
167
- | 0.27 | 0.83 | 1160 | 0.0987 |
168
- | 0.2445 | 0.83 | 1170 | 0.0521 |
169
- | 0.1911 | 0.84 | 1180 | 0.0461 |
170
- | 0.2336 | 0.85 | 1190 | 0.0457 |
171
- | 0.1881 | 0.86 | 1200 | 0.0653 |
172
- | 0.2039 | 0.86 | 1210 | 0.0821 |
173
- | 0.2503 | 0.87 | 1220 | 0.0493 |
174
- | 0.2153 | 0.88 | 1230 | 0.0492 |
175
- | 0.2307 | 0.88 | 1240 | 0.0691 |
176
- | 0.1854 | 0.89 | 1250 | 0.0486 |
177
- | 0.1896 | 0.9 | 1260 | 0.0575 |
178
- | 0.2321 | 0.91 | 1270 | 0.0546 |
179
- | 0.195 | 0.91 | 1280 | 0.0506 |
180
- | 0.2457 | 0.92 | 1290 | 0.0556 |
181
- | 0.15 | 0.93 | 1300 | 0.0525 |
182
- | 0.2567 | 0.93 | 1310 | 0.0499 |
183
- | 0.2352 | 0.94 | 1320 | 0.0524 |
184
- | 0.2018 | 0.95 | 1330 | 0.0581 |
185
- | 0.1591 | 0.96 | 1340 | 0.0549 |
186
- | 0.2454 | 0.96 | 1350 | 0.0534 |
187
- | 0.1595 | 0.97 | 1360 | 0.0525 |
188
- | 0.179 | 0.98 | 1370 | 0.0524 |
189
- | 0.19 | 0.98 | 1380 | 0.0512 |
190
- | 0.1571 | 0.99 | 1390 | 0.0515 |
191
- | 0.1611 | 1.0 | 1400 | 0.0522 |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
192
 
193
 
194
  ### Framework versions
 
1
  ---
2
  license: apache-2.0
3
+ base_model: google/t5-efficient-tiny
4
  tags:
5
  - generated_from_trainer
 
6
  model-index:
7
  - name: salt_language_ID
8
  results: []
 
15
 
16
  This model is a fine-tuned version of [google/t5-efficient-tiny](https://huggingface.co/google/t5-efficient-tiny) on an unknown dataset.
17
  It achieves the following results on the evaluation set:
18
+ - Loss: 0.0226
19
 
20
  ## Model description
21
 
 
43
  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
44
  - lr_scheduler_type: linear
45
  - lr_scheduler_warmup_steps: 500
46
+ - num_epochs: 2
47
 
48
  ### Training results
49
 
 
99
  | 0.739 | 0.34 | 480 | 0.1385 |
100
  | 0.6355 | 0.35 | 490 | 0.4408 |
101
  | 0.8578 | 0.36 | 500 | 0.1109 |
102
+ | 0.758 | 0.36 | 510 | 0.1401 |
103
+ | 0.5957 | 0.37 | 520 | 0.1470 |
104
+ | 0.5933 | 0.38 | 530 | 0.1215 |
105
+ | 0.6636 | 0.38 | 540 | 0.2513 |
106
+ | 0.6857 | 0.39 | 550 | 0.1407 |
107
+ | 0.5623 | 0.4 | 560 | 0.1325 |
108
+ | 0.5055 | 0.41 | 570 | 0.1624 |
109
+ | 0.5866 | 0.41 | 580 | 0.1763 |
110
+ | 0.5811 | 0.42 | 590 | 0.1567 |
111
+ | 0.5255 | 0.43 | 600 | 0.0916 |
112
+ | 0.4512 | 0.43 | 610 | 0.1853 |
113
+ | 0.4862 | 0.44 | 620 | 0.1168 |
114
+ | 0.4378 | 0.45 | 630 | 0.0929 |
115
+ | 0.4966 | 0.46 | 640 | 0.1254 |
116
+ | 0.5138 | 0.46 | 650 | 0.1285 |
117
+ | 0.4926 | 0.47 | 660 | 0.1072 |
118
+ | 0.4133 | 0.48 | 670 | 0.0727 |
119
+ | 0.3738 | 0.48 | 680 | 0.1100 |
120
+ | 0.4558 | 0.49 | 690 | 0.1214 |
121
+ | 0.3865 | 0.5 | 700 | 0.0773 |
122
+ | 0.4216 | 0.51 | 710 | 0.1595 |
123
+ | 0.3449 | 0.51 | 720 | 0.0754 |
124
+ | 0.4205 | 0.52 | 730 | 0.0982 |
125
+ | 0.3779 | 0.53 | 740 | 0.1105 |
126
+ | 0.3229 | 0.53 | 750 | 0.1698 |
127
+ | 0.3178 | 0.54 | 760 | 0.0753 |
128
+ | 0.3405 | 0.55 | 770 | 0.2353 |
129
+ | 0.3267 | 0.56 | 780 | 0.0656 |
130
+ | 0.2672 | 0.56 | 790 | 0.0955 |
131
+ | 0.4229 | 0.57 | 800 | 0.0635 |
132
+ | 0.3338 | 0.58 | 810 | 0.1630 |
133
+ | 0.337 | 0.58 | 820 | 0.0740 |
134
+ | 0.2945 | 0.59 | 830 | 0.1947 |
135
+ | 0.3374 | 0.6 | 840 | 0.1016 |
136
+ | 0.3101 | 0.61 | 850 | 0.0946 |
137
+ | 0.2595 | 0.61 | 860 | 0.0785 |
138
+ | 0.3179 | 0.62 | 870 | 0.0758 |
139
+ | 0.244 | 0.63 | 880 | 0.0606 |
140
+ | 0.3186 | 0.63 | 890 | 0.0601 |
141
+ | 0.2838 | 0.64 | 900 | 0.0847 |
142
+ | 0.2624 | 0.65 | 910 | 0.0638 |
143
+ | 0.2806 | 0.66 | 920 | 0.0915 |
144
+ | 0.2859 | 0.66 | 930 | 0.0630 |
145
+ | 0.213 | 0.67 | 940 | 0.0592 |
146
+ | 0.2174 | 0.68 | 950 | 0.0514 |
147
+ | 0.2555 | 0.68 | 960 | 0.0832 |
148
+ | 0.2361 | 0.69 | 970 | 0.0442 |
149
+ | 0.1854 | 0.7 | 980 | 0.1016 |
150
+ | 0.2414 | 0.71 | 990 | 0.0615 |
151
+ | 0.2522 | 0.71 | 1000 | 0.0420 |
152
+ | 0.2331 | 0.72 | 1010 | 0.0609 |
153
+ | 0.2191 | 0.73 | 1020 | 0.0605 |
154
+ | 0.1605 | 0.73 | 1030 | 0.0535 |
155
+ | 0.2002 | 0.74 | 1040 | 0.0607 |
156
+ | 0.2003 | 0.75 | 1050 | 0.0535 |
157
+ | 0.2306 | 0.76 | 1060 | 0.0597 |
158
+ | 0.2004 | 0.76 | 1070 | 0.0583 |
159
+ | 0.1524 | 0.77 | 1080 | 0.0653 |
160
+ | 0.2124 | 0.78 | 1090 | 0.0543 |
161
+ | 0.1635 | 0.78 | 1100 | 0.0490 |
162
+ | 0.2245 | 0.79 | 1110 | 0.0538 |
163
+ | 0.2144 | 0.8 | 1120 | 0.0411 |
164
+ | 0.2212 | 0.81 | 1130 | 0.0421 |
165
+ | 0.2369 | 0.81 | 1140 | 0.0373 |
166
+ | 0.1499 | 0.82 | 1150 | 0.1028 |
167
+ | 0.2434 | 0.83 | 1160 | 0.0515 |
168
+ | 0.214 | 0.83 | 1170 | 0.0388 |
169
+ | 0.1667 | 0.84 | 1180 | 0.0576 |
170
+ | 0.2044 | 0.85 | 1190 | 0.0360 |
171
+ | 0.1666 | 0.86 | 1200 | 0.0532 |
172
+ | 0.1679 | 0.86 | 1210 | 0.0389 |
173
+ | 0.2201 | 0.87 | 1220 | 0.0411 |
174
+ | 0.1384 | 0.88 | 1230 | 0.0653 |
175
+ | 0.2331 | 0.88 | 1240 | 0.0364 |
176
+ | 0.1344 | 0.89 | 1250 | 0.0432 |
177
+ | 0.1661 | 0.9 | 1260 | 0.0604 |
178
+ | 0.1689 | 0.91 | 1270 | 0.0426 |
179
+ | 0.1465 | 0.91 | 1280 | 0.0448 |
180
+ | 0.2009 | 0.92 | 1290 | 0.0389 |
181
+ | 0.1384 | 0.93 | 1300 | 0.0362 |
182
+ | 0.179 | 0.93 | 1310 | 0.0466 |
183
+ | 0.1728 | 0.94 | 1320 | 0.0373 |
184
+ | 0.139 | 0.95 | 1330 | 0.0469 |
185
+ | 0.1359 | 0.96 | 1340 | 0.0339 |
186
+ | 0.1666 | 0.96 | 1350 | 0.0390 |
187
+ | 0.0943 | 0.97 | 1360 | 0.0359 |
188
+ | 0.1155 | 0.98 | 1370 | 0.0499 |
189
+ | 0.1176 | 0.98 | 1380 | 0.0390 |
190
+ | 0.1034 | 0.99 | 1390 | 0.0603 |
191
+ | 0.1147 | 1.0 | 1400 | 0.0370 |
192
+ | 0.127 | 1.0 | 1410 | 0.0513 |
193
+ | 0.1474 | 1.01 | 1420 | 0.0341 |
194
+ | 0.1509 | 1.02 | 1430 | 0.0378 |
195
+ | 0.0809 | 1.03 | 1440 | 0.0521 |
196
+ | 0.1262 | 1.03 | 1450 | 0.0320 |
197
+ | 0.1305 | 1.04 | 1460 | 0.0484 |
198
+ | 0.1552 | 1.05 | 1470 | 0.0311 |
199
+ | 0.1147 | 1.05 | 1480 | 0.0341 |
200
+ | 0.1099 | 1.06 | 1490 | 0.0330 |
201
+ | 0.1196 | 1.07 | 1500 | 0.0332 |
202
+ | 0.0823 | 1.08 | 1510 | 0.0475 |
203
+ | 0.1426 | 1.08 | 1520 | 0.0377 |
204
+ | 0.1118 | 1.09 | 1530 | 0.0336 |
205
+ | 0.0665 | 1.1 | 1540 | 0.0328 |
206
+ | 0.1171 | 1.1 | 1550 | 0.0324 |
207
+ | 0.1166 | 1.11 | 1560 | 0.0447 |
208
+ | 0.1348 | 1.12 | 1570 | 0.0342 |
209
+ | 0.1327 | 1.13 | 1580 | 0.0413 |
210
+ | 0.1099 | 1.13 | 1590 | 0.0335 |
211
+ | 0.0801 | 1.14 | 1600 | 0.0370 |
212
+ | 0.13 | 1.15 | 1610 | 0.0389 |
213
+ | 0.1238 | 1.15 | 1620 | 0.0516 |
214
+ | 0.1092 | 1.16 | 1630 | 0.0311 |
215
+ | 0.1007 | 1.17 | 1640 | 0.0399 |
216
+ | 0.1142 | 1.18 | 1650 | 0.0383 |
217
+ | 0.0893 | 1.18 | 1660 | 0.0328 |
218
+ | 0.1115 | 1.19 | 1670 | 0.0536 |
219
+ | 0.0861 | 1.2 | 1680 | 0.0289 |
220
+ | 0.1141 | 1.2 | 1690 | 0.0334 |
221
+ | 0.1487 | 1.21 | 1700 | 0.0314 |
222
+ | 0.1214 | 1.22 | 1710 | 0.0371 |
223
+ | 0.0876 | 1.23 | 1720 | 0.0296 |
224
+ | 0.0927 | 1.23 | 1730 | 0.0292 |
225
+ | 0.0651 | 1.24 | 1740 | 0.0309 |
226
+ | 0.1355 | 1.25 | 1750 | 0.0372 |
227
+ | 0.0883 | 1.25 | 1760 | 0.0359 |
228
+ | 0.1067 | 1.26 | 1770 | 0.0305 |
229
+ | 0.1166 | 1.27 | 1780 | 0.0368 |
230
+ | 0.0603 | 1.28 | 1790 | 0.0306 |
231
+ | 0.073 | 1.28 | 1800 | 0.0292 |
232
+ | 0.1029 | 1.29 | 1810 | 0.0308 |
233
+ | 0.1019 | 1.3 | 1820 | 0.0279 |
234
+ | 0.0989 | 1.3 | 1830 | 0.0356 |
235
+ | 0.1132 | 1.31 | 1840 | 0.0506 |
236
+ | 0.0978 | 1.32 | 1850 | 0.0280 |
237
+ | 0.0743 | 1.33 | 1860 | 0.0305 |
238
+ | 0.0573 | 1.33 | 1870 | 0.0265 |
239
+ | 0.0861 | 1.34 | 1880 | 0.0303 |
240
+ | 0.0782 | 1.35 | 1890 | 0.0467 |
241
+ | 0.0931 | 1.35 | 1900 | 0.0286 |
242
+ | 0.0812 | 1.36 | 1910 | 0.0329 |
243
+ | 0.0993 | 1.37 | 1920 | 0.0440 |
244
+ | 0.1547 | 1.38 | 1930 | 0.0411 |
245
+ | 0.081 | 1.38 | 1940 | 0.0308 |
246
+ | 0.1014 | 1.39 | 1950 | 0.0289 |
247
+ | 0.0674 | 1.4 | 1960 | 0.0362 |
248
+ | 0.1119 | 1.4 | 1970 | 0.0412 |
249
+ | 0.0996 | 1.41 | 1980 | 0.0267 |
250
+ | 0.1239 | 1.42 | 1990 | 0.0272 |
251
+ | 0.0919 | 1.43 | 2000 | 0.0334 |
252
+ | 0.1352 | 1.43 | 2010 | 0.0276 |
253
+ | 0.068 | 1.44 | 2020 | 0.0283 |
254
+ | 0.094 | 1.45 | 2030 | 0.0282 |
255
+ | 0.0844 | 1.45 | 2040 | 0.0315 |
256
+ | 0.0486 | 1.46 | 2050 | 0.0247 |
257
+ | 0.0721 | 1.47 | 2060 | 0.0275 |
258
+ | 0.1169 | 1.48 | 2070 | 0.0331 |
259
+ | 0.1055 | 1.48 | 2080 | 0.0292 |
260
+ | 0.0665 | 1.49 | 2090 | 0.0241 |
261
+ | 0.078 | 1.5 | 2100 | 0.0245 |
262
+ | 0.0923 | 1.5 | 2110 | 0.0277 |
263
+ | 0.0983 | 1.51 | 2120 | 0.0292 |
264
+ | 0.0993 | 1.52 | 2130 | 0.0241 |
265
+ | 0.0381 | 1.53 | 2140 | 0.0316 |
266
+ | 0.0614 | 1.53 | 2150 | 0.0269 |
267
+ | 0.0616 | 1.54 | 2160 | 0.0239 |
268
+ | 0.0535 | 1.55 | 2170 | 0.0246 |
269
+ | 0.0645 | 1.55 | 2180 | 0.0286 |
270
+ | 0.0895 | 1.56 | 2190 | 0.0310 |
271
+ | 0.0963 | 1.57 | 2200 | 0.0266 |
272
+ | 0.087 | 1.58 | 2210 | 0.0253 |
273
+ | 0.0976 | 1.58 | 2220 | 0.0252 |
274
+ | 0.1 | 1.59 | 2230 | 0.0332 |
275
+ | 0.0679 | 1.6 | 2240 | 0.0301 |
276
+ | 0.0949 | 1.6 | 2250 | 0.0263 |
277
+ | 0.0508 | 1.61 | 2260 | 0.0232 |
278
+ | 0.0619 | 1.62 | 2270 | 0.0274 |
279
+ | 0.0649 | 1.63 | 2280 | 0.0239 |
280
+ | 0.0837 | 1.63 | 2290 | 0.0253 |
281
+ | 0.0903 | 1.64 | 2300 | 0.0262 |
282
+ | 0.0655 | 1.65 | 2310 | 0.0274 |
283
+ | 0.0782 | 1.65 | 2320 | 0.0340 |
284
+ | 0.0905 | 1.66 | 2330 | 0.0279 |
285
+ | 0.1116 | 1.67 | 2340 | 0.0278 |
286
+ | 0.06 | 1.67 | 2350 | 0.0256 |
287
+ | 0.0915 | 1.68 | 2360 | 0.0285 |
288
+ | 0.0826 | 1.69 | 2370 | 0.0259 |
289
+ | 0.0593 | 1.7 | 2380 | 0.0265 |
290
+ | 0.0551 | 1.7 | 2390 | 0.0247 |
291
+ | 0.0732 | 1.71 | 2400 | 0.0252 |
292
+ | 0.0936 | 1.72 | 2410 | 0.0271 |
293
+ | 0.0706 | 1.72 | 2420 | 0.0263 |
294
+ | 0.0544 | 1.73 | 2430 | 0.0250 |
295
+ | 0.0606 | 1.74 | 2440 | 0.0247 |
296
+ | 0.0707 | 1.75 | 2450 | 0.0256 |
297
+ | 0.0759 | 1.75 | 2460 | 0.0269 |
298
+ | 0.0688 | 1.76 | 2470 | 0.0260 |
299
+ | 0.0537 | 1.77 | 2480 | 0.0239 |
300
+ | 0.0979 | 1.77 | 2490 | 0.0246 |
301
+ | 0.0899 | 1.78 | 2500 | 0.0263 |
302
+ | 0.0834 | 1.79 | 2510 | 0.0274 |
303
+ | 0.0597 | 1.8 | 2520 | 0.0253 |
304
+ | 0.0807 | 1.8 | 2530 | 0.0250 |
305
+ | 0.0902 | 1.81 | 2540 | 0.0221 |
306
+ | 0.0849 | 1.82 | 2550 | 0.0223 |
307
+ | 0.0722 | 1.82 | 2560 | 0.0222 |
308
+ | 0.0647 | 1.83 | 2570 | 0.0211 |
309
+ | 0.0789 | 1.84 | 2580 | 0.0217 |
310
+ | 0.0839 | 1.85 | 2590 | 0.0248 |
311
+ | 0.0761 | 1.85 | 2600 | 0.0252 |
312
+ | 0.1191 | 1.86 | 2610 | 0.0267 |
313
+ | 0.093 | 1.87 | 2620 | 0.0254 |
314
+ | 0.0581 | 1.87 | 2630 | 0.0245 |
315
+ | 0.0776 | 1.88 | 2640 | 0.0246 |
316
+ | 0.0699 | 1.89 | 2650 | 0.0242 |
317
+ | 0.07 | 1.9 | 2660 | 0.0246 |
318
+ | 0.0523 | 1.9 | 2670 | 0.0238 |
319
+ | 0.0773 | 1.91 | 2680 | 0.0226 |
320
+ | 0.0781 | 1.92 | 2690 | 0.0221 |
321
+ | 0.0593 | 1.92 | 2700 | 0.0223 |
322
+ | 0.0955 | 1.93 | 2710 | 0.0234 |
323
+ | 0.0662 | 1.94 | 2720 | 0.0235 |
324
+ | 0.0704 | 1.95 | 2730 | 0.0229 |
325
+ | 0.0785 | 1.95 | 2740 | 0.0222 |
326
+ | 0.0778 | 1.96 | 2750 | 0.0219 |
327
+ | 0.0462 | 1.97 | 2760 | 0.0220 |
328
+ | 0.0596 | 1.97 | 2770 | 0.0222 |
329
+ | 0.0599 | 1.98 | 2780 | 0.0224 |
330
+ | 0.0489 | 1.99 | 2790 | 0.0226 |
331
+ | 0.0738 | 2.0 | 2800 | 0.0226 |
332
 
333
 
334
  ### Framework versions
model.safetensors CHANGED
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  size 95192240
 
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  size 95192240