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gjonesQ02
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StatementOfWork_Generator_Omega_BS_512_2

Text Generation
Transformers
TensorBoard
Safetensors
gpt2
Generated from Trainer
text-generation-inference
Inference Endpoints
Model card Files Metrics Community
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End of training

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  1. README.md +152 -152
  2. model.safetensors +1 -1
  3. runs/Jul01_13-38-05_viridian/events.out.tfevents.1719858404.viridian.3786935.2 +3 -0
README.md CHANGED
@@ -1,8 +1,8 @@
1
  ---
2
  license: apache-2.0
 
3
  tags:
4
  - generated_from_trainer
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- base_model: distilgpt2
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  model-index:
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  - name: StatementOfWork_Generator_Omega_BS_512_2
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  results: []
@@ -15,7 +15,7 @@ should probably proofread and complete it, then remove this comment. -->
15
 
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  This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.9847
19
 
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  ## Model description
21
 
@@ -46,156 +46,156 @@ The following hyperparameters were used during training:
46
 
47
  | Training Loss | Epoch | Step | Validation Loss |
48
  |:-------------:|:-----:|:----:|:---------------:|
49
- | No log | 1.0 | 4 | 1.3147 |
50
- | No log | 2.0 | 8 | 1.3104 |
51
- | No log | 3.0 | 12 | 1.3048 |
52
- | No log | 4.0 | 16 | 1.2989 |
53
- | No log | 5.0 | 20 | 1.2924 |
54
- | No log | 6.0 | 24 | 1.2882 |
55
- | No log | 7.0 | 28 | 1.2813 |
56
- | No log | 8.0 | 32 | 1.2768 |
57
- | No log | 9.0 | 36 | 1.2722 |
58
- | No log | 10.0 | 40 | 1.2675 |
59
- | No log | 11.0 | 44 | 1.2619 |
60
- | No log | 12.0 | 48 | 1.2614 |
61
- | No log | 13.0 | 52 | 1.2515 |
62
- | No log | 14.0 | 56 | 1.2459 |
63
- | No log | 15.0 | 60 | 1.2444 |
64
- | No log | 16.0 | 64 | 1.2373 |
65
- | No log | 17.0 | 68 | 1.2364 |
66
- | No log | 18.0 | 72 | 1.2286 |
67
- | No log | 19.0 | 76 | 1.2269 |
68
- | No log | 20.0 | 80 | 1.2196 |
69
- | No log | 21.0 | 84 | 1.2205 |
70
- | No log | 22.0 | 88 | 1.2131 |
71
- | No log | 23.0 | 92 | 1.2086 |
72
- | No log | 24.0 | 96 | 1.2060 |
73
- | No log | 25.0 | 100 | 1.1999 |
74
- | No log | 26.0 | 104 | 1.1943 |
75
- | No log | 27.0 | 108 | 1.1909 |
76
- | No log | 28.0 | 112 | 1.1879 |
77
- | No log | 29.0 | 116 | 1.1841 |
78
- | No log | 30.0 | 120 | 1.1813 |
79
- | No log | 31.0 | 124 | 1.1735 |
80
- | No log | 32.0 | 128 | 1.1756 |
81
- | No log | 33.0 | 132 | 1.1711 |
82
- | No log | 34.0 | 136 | 1.1677 |
83
- | No log | 35.0 | 140 | 1.1627 |
84
- | No log | 36.0 | 144 | 1.1565 |
85
- | No log | 37.0 | 148 | 1.1567 |
86
- | No log | 38.0 | 152 | 1.1517 |
87
- | No log | 39.0 | 156 | 1.1481 |
88
- | No log | 40.0 | 160 | 1.1442 |
89
- | No log | 41.0 | 164 | 1.1407 |
90
- | No log | 42.0 | 168 | 1.1383 |
91
- | No log | 43.0 | 172 | 1.1354 |
92
- | No log | 44.0 | 176 | 1.1322 |
93
- | No log | 45.0 | 180 | 1.1287 |
94
- | No log | 46.0 | 184 | 1.1243 |
95
- | No log | 47.0 | 188 | 1.1217 |
96
- | No log | 48.0 | 192 | 1.1186 |
97
- | No log | 49.0 | 196 | 1.1175 |
98
- | No log | 50.0 | 200 | 1.1145 |
99
- | No log | 51.0 | 204 | 1.1116 |
100
- | No log | 52.0 | 208 | 1.1077 |
101
- | No log | 53.0 | 212 | 1.1039 |
102
- | No log | 54.0 | 216 | 1.1031 |
103
- | No log | 55.0 | 220 | 1.1011 |
104
- | No log | 56.0 | 224 | 1.0970 |
105
- | No log | 57.0 | 228 | 1.0935 |
106
- | No log | 58.0 | 232 | 1.0937 |
107
- | No log | 59.0 | 236 | 1.0898 |
108
- | No log | 60.0 | 240 | 1.0853 |
109
- | No log | 61.0 | 244 | 1.0845 |
110
- | No log | 62.0 | 248 | 1.0825 |
111
- | No log | 63.0 | 252 | 1.0778 |
112
- | No log | 64.0 | 256 | 1.0766 |
113
- | No log | 65.0 | 260 | 1.0749 |
114
- | No log | 66.0 | 264 | 1.0707 |
115
- | No log | 67.0 | 268 | 1.0702 |
116
- | No log | 68.0 | 272 | 1.0696 |
117
- | No log | 69.0 | 276 | 1.0659 |
118
- | No log | 70.0 | 280 | 1.0641 |
119
- | No log | 71.0 | 284 | 1.0636 |
120
- | No log | 72.0 | 288 | 1.0579 |
121
- | No log | 73.0 | 292 | 1.0551 |
122
- | No log | 74.0 | 296 | 1.0565 |
123
- | No log | 75.0 | 300 | 1.0531 |
124
- | No log | 76.0 | 304 | 1.0493 |
125
- | No log | 77.0 | 308 | 1.0511 |
126
- | No log | 78.0 | 312 | 1.0494 |
127
- | No log | 79.0 | 316 | 1.0468 |
128
- | No log | 80.0 | 320 | 1.0455 |
129
- | No log | 81.0 | 324 | 1.0421 |
130
- | No log | 82.0 | 328 | 1.0399 |
131
- | No log | 83.0 | 332 | 1.0402 |
132
- | No log | 84.0 | 336 | 1.0357 |
133
- | No log | 85.0 | 340 | 1.0351 |
134
- | No log | 86.0 | 344 | 1.0349 |
135
- | No log | 87.0 | 348 | 1.0335 |
136
- | No log | 88.0 | 352 | 1.0299 |
137
- | No log | 89.0 | 356 | 1.0293 |
138
- | No log | 90.0 | 360 | 1.0292 |
139
- | No log | 91.0 | 364 | 1.0268 |
140
- | No log | 92.0 | 368 | 1.0254 |
141
- | No log | 93.0 | 372 | 1.0246 |
142
- | No log | 94.0 | 376 | 1.0241 |
143
- | No log | 95.0 | 380 | 1.0218 |
144
- | No log | 96.0 | 384 | 1.0183 |
145
- | No log | 97.0 | 388 | 1.0173 |
146
- | No log | 98.0 | 392 | 1.0177 |
147
- | No log | 99.0 | 396 | 1.0161 |
148
- | No log | 100.0 | 400 | 1.0134 |
149
- | No log | 101.0 | 404 | 1.0135 |
150
- | No log | 102.0 | 408 | 1.0129 |
151
- | No log | 103.0 | 412 | 1.0118 |
152
- | No log | 104.0 | 416 | 1.0107 |
153
- | No log | 105.0 | 420 | 1.0087 |
154
- | No log | 106.0 | 424 | 1.0064 |
155
- | No log | 107.0 | 428 | 1.0046 |
156
- | No log | 108.0 | 432 | 1.0047 |
157
- | No log | 109.0 | 436 | 1.0050 |
158
- | No log | 110.0 | 440 | 1.0052 |
159
- | No log | 111.0 | 444 | 1.0033 |
160
- | No log | 112.0 | 448 | 1.0013 |
161
- | No log | 113.0 | 452 | 1.0001 |
162
- | No log | 114.0 | 456 | 1.0005 |
163
- | No log | 115.0 | 460 | 1.0001 |
164
- | No log | 116.0 | 464 | 0.9982 |
165
- | No log | 117.0 | 468 | 0.9965 |
166
- | No log | 118.0 | 472 | 0.9955 |
167
- | No log | 119.0 | 476 | 0.9952 |
168
- | No log | 120.0 | 480 | 0.9954 |
169
- | No log | 121.0 | 484 | 0.9950 |
170
- | No log | 122.0 | 488 | 0.9941 |
171
- | No log | 123.0 | 492 | 0.9936 |
172
- | No log | 124.0 | 496 | 0.9926 |
173
- | 0.7114 | 125.0 | 500 | 0.9919 |
174
- | 0.7114 | 126.0 | 504 | 0.9915 |
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- | 0.7114 | 127.0 | 508 | 0.9911 |
176
- | 0.7114 | 128.0 | 512 | 0.9906 |
177
- | 0.7114 | 129.0 | 516 | 0.9895 |
178
- | 0.7114 | 130.0 | 520 | 0.9889 |
179
- | 0.7114 | 131.0 | 524 | 0.9884 |
180
- | 0.7114 | 132.0 | 528 | 0.9882 |
181
- | 0.7114 | 133.0 | 532 | 0.9885 |
182
- | 0.7114 | 134.0 | 536 | 0.9886 |
183
- | 0.7114 | 135.0 | 540 | 0.9883 |
184
- | 0.7114 | 136.0 | 544 | 0.9879 |
185
- | 0.7114 | 137.0 | 548 | 0.9874 |
186
- | 0.7114 | 138.0 | 552 | 0.9869 |
187
- | 0.7114 | 139.0 | 556 | 0.9867 |
188
- | 0.7114 | 140.0 | 560 | 0.9865 |
189
- | 0.7114 | 141.0 | 564 | 0.9867 |
190
- | 0.7114 | 142.0 | 568 | 0.9869 |
191
- | 0.7114 | 143.0 | 572 | 0.9867 |
192
- | 0.7114 | 144.0 | 576 | 0.9862 |
193
- | 0.7114 | 145.0 | 580 | 0.9857 |
194
- | 0.7114 | 146.0 | 584 | 0.9853 |
195
- | 0.7114 | 147.0 | 588 | 0.9850 |
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- | 0.7114 | 148.0 | 592 | 0.9848 |
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- | 0.7114 | 149.0 | 596 | 0.9847 |
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- | 0.7114 | 150.0 | 600 | 0.9847 |
199
 
200
 
201
  ### Framework versions
 
1
  ---
2
  license: apache-2.0
3
+ base_model: distilgpt2
4
  tags:
5
  - generated_from_trainer
 
6
  model-index:
7
  - name: StatementOfWork_Generator_Omega_BS_512_2
8
  results: []
 
15
 
16
  This model is a fine-tuned version of [distilgpt2](https://huggingface.co/distilgpt2) on an unknown dataset.
17
  It achieves the following results on the evaluation set:
18
+ - Loss: 0.8120
19
 
20
  ## Model description
21
 
 
46
 
47
  | Training Loss | Epoch | Step | Validation Loss |
48
  |:-------------:|:-----:|:----:|:---------------:|
49
+ | No log | 1.0 | 4 | 0.9839 |
50
+ | No log | 2.0 | 8 | 0.9786 |
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+ | No log | 3.0 | 12 | 0.9767 |
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+ | No log | 4.0 | 16 | 0.9757 |
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+ | No log | 5.0 | 20 | 0.9716 |
54
+ | No log | 6.0 | 24 | 0.9670 |
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+ | No log | 7.0 | 28 | 0.9663 |
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+ | No log | 8.0 | 32 | 0.9627 |
57
+ | No log | 9.0 | 36 | 0.9571 |
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+ | No log | 10.0 | 40 | 0.9573 |
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+ | No log | 11.0 | 44 | 0.9520 |
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+ | No log | 12.0 | 48 | 0.9511 |
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+ | No log | 13.0 | 52 | 0.9486 |
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+ | No log | 14.0 | 56 | 0.9425 |
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+ | No log | 15.0 | 60 | 0.9440 |
64
+ | No log | 16.0 | 64 | 0.9392 |
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+ | No log | 17.0 | 68 | 0.9357 |
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+ | No log | 18.0 | 72 | 0.9368 |
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+ | No log | 19.0 | 76 | 0.9333 |
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+ | No log | 20.0 | 80 | 0.9284 |
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+ | No log | 21.0 | 84 | 0.9260 |
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+ | No log | 22.0 | 88 | 0.9244 |
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+ | No log | 23.0 | 92 | 0.9228 |
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+ | No log | 24.0 | 96 | 0.9192 |
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+ | No log | 25.0 | 100 | 0.9163 |
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+ | No log | 26.0 | 104 | 0.9164 |
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+ | No log | 27.0 | 108 | 0.9135 |
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+ | No log | 28.0 | 112 | 0.9107 |
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+ | No log | 29.0 | 116 | 0.9105 |
78
+ | No log | 30.0 | 120 | 0.9068 |
79
+ | No log | 31.0 | 124 | 0.9050 |
80
+ | No log | 32.0 | 128 | 0.9034 |
81
+ | No log | 33.0 | 132 | 0.9012 |
82
+ | No log | 34.0 | 136 | 0.8966 |
83
+ | No log | 35.0 | 140 | 0.8968 |
84
+ | No log | 36.0 | 144 | 0.8953 |
85
+ | No log | 37.0 | 148 | 0.8920 |
86
+ | No log | 38.0 | 152 | 0.8920 |
87
+ | No log | 39.0 | 156 | 0.8912 |
88
+ | No log | 40.0 | 160 | 0.8877 |
89
+ | No log | 41.0 | 164 | 0.8871 |
90
+ | No log | 42.0 | 168 | 0.8857 |
91
+ | No log | 43.0 | 172 | 0.8800 |
92
+ | No log | 44.0 | 176 | 0.8789 |
93
+ | No log | 45.0 | 180 | 0.8831 |
94
+ | No log | 46.0 | 184 | 0.8794 |
95
+ | No log | 47.0 | 188 | 0.8757 |
96
+ | No log | 48.0 | 192 | 0.8760 |
97
+ | No log | 49.0 | 196 | 0.8730 |
98
+ | No log | 50.0 | 200 | 0.8726 |
99
+ | No log | 51.0 | 204 | 0.8719 |
100
+ | No log | 52.0 | 208 | 0.8689 |
101
+ | No log | 53.0 | 212 | 0.8691 |
102
+ | No log | 54.0 | 216 | 0.8679 |
103
+ | No log | 55.0 | 220 | 0.8633 |
104
+ | No log | 56.0 | 224 | 0.8623 |
105
+ | No log | 57.0 | 228 | 0.8624 |
106
+ | No log | 58.0 | 232 | 0.8610 |
107
+ | No log | 59.0 | 236 | 0.8601 |
108
+ | No log | 60.0 | 240 | 0.8586 |
109
+ | No log | 61.0 | 244 | 0.8583 |
110
+ | No log | 62.0 | 248 | 0.8564 |
111
+ | No log | 63.0 | 252 | 0.8552 |
112
+ | No log | 64.0 | 256 | 0.8545 |
113
+ | No log | 65.0 | 260 | 0.8526 |
114
+ | No log | 66.0 | 264 | 0.8513 |
115
+ | No log | 67.0 | 268 | 0.8508 |
116
+ | No log | 68.0 | 272 | 0.8501 |
117
+ | No log | 69.0 | 276 | 0.8484 |
118
+ | No log | 70.0 | 280 | 0.8479 |
119
+ | No log | 71.0 | 284 | 0.8465 |
120
+ | No log | 72.0 | 288 | 0.8464 |
121
+ | No log | 73.0 | 292 | 0.8452 |
122
+ | No log | 74.0 | 296 | 0.8442 |
123
+ | No log | 75.0 | 300 | 0.8443 |
124
+ | No log | 76.0 | 304 | 0.8425 |
125
+ | No log | 77.0 | 308 | 0.8410 |
126
+ | No log | 78.0 | 312 | 0.8402 |
127
+ | No log | 79.0 | 316 | 0.8394 |
128
+ | No log | 80.0 | 320 | 0.8385 |
129
+ | No log | 81.0 | 324 | 0.8380 |
130
+ | No log | 82.0 | 328 | 0.8380 |
131
+ | No log | 83.0 | 332 | 0.8369 |
132
+ | No log | 84.0 | 336 | 0.8356 |
133
+ | No log | 85.0 | 340 | 0.8351 |
134
+ | No log | 86.0 | 344 | 0.8343 |
135
+ | No log | 87.0 | 348 | 0.8326 |
136
+ | No log | 88.0 | 352 | 0.8331 |
137
+ | No log | 89.0 | 356 | 0.8328 |
138
+ | No log | 90.0 | 360 | 0.8306 |
139
+ | No log | 91.0 | 364 | 0.8310 |
140
+ | No log | 92.0 | 368 | 0.8314 |
141
+ | No log | 93.0 | 372 | 0.8295 |
142
+ | No log | 94.0 | 376 | 0.8287 |
143
+ | No log | 95.0 | 380 | 0.8286 |
144
+ | No log | 96.0 | 384 | 0.8276 |
145
+ | No log | 97.0 | 388 | 0.8270 |
146
+ | No log | 98.0 | 392 | 0.8262 |
147
+ | No log | 99.0 | 396 | 0.8251 |
148
+ | No log | 100.0 | 400 | 0.8241 |
149
+ | No log | 101.0 | 404 | 0.8231 |
150
+ | No log | 102.0 | 408 | 0.8225 |
151
+ | No log | 103.0 | 412 | 0.8235 |
152
+ | No log | 104.0 | 416 | 0.8234 |
153
+ | No log | 105.0 | 420 | 0.8225 |
154
+ | No log | 106.0 | 424 | 0.8219 |
155
+ | No log | 107.0 | 428 | 0.8209 |
156
+ | No log | 108.0 | 432 | 0.8204 |
157
+ | No log | 109.0 | 436 | 0.8195 |
158
+ | No log | 110.0 | 440 | 0.8191 |
159
+ | No log | 111.0 | 444 | 0.8191 |
160
+ | No log | 112.0 | 448 | 0.8193 |
161
+ | No log | 113.0 | 452 | 0.8197 |
162
+ | No log | 114.0 | 456 | 0.8191 |
163
+ | No log | 115.0 | 460 | 0.8179 |
164
+ | No log | 116.0 | 464 | 0.8176 |
165
+ | No log | 117.0 | 468 | 0.8173 |
166
+ | No log | 118.0 | 472 | 0.8172 |
167
+ | No log | 119.0 | 476 | 0.8174 |
168
+ | No log | 120.0 | 480 | 0.8171 |
169
+ | No log | 121.0 | 484 | 0.8169 |
170
+ | No log | 122.0 | 488 | 0.8168 |
171
+ | No log | 123.0 | 492 | 0.8162 |
172
+ | No log | 124.0 | 496 | 0.8161 |
173
+ | 0.3706 | 125.0 | 500 | 0.8160 |
174
+ | 0.3706 | 126.0 | 504 | 0.8156 |
175
+ | 0.3706 | 127.0 | 508 | 0.8145 |
176
+ | 0.3706 | 128.0 | 512 | 0.8143 |
177
+ | 0.3706 | 129.0 | 516 | 0.8143 |
178
+ | 0.3706 | 130.0 | 520 | 0.8145 |
179
+ | 0.3706 | 131.0 | 524 | 0.8147 |
180
+ | 0.3706 | 132.0 | 528 | 0.8142 |
181
+ | 0.3706 | 133.0 | 532 | 0.8136 |
182
+ | 0.3706 | 134.0 | 536 | 0.8136 |
183
+ | 0.3706 | 135.0 | 540 | 0.8138 |
184
+ | 0.3706 | 136.0 | 544 | 0.8139 |
185
+ | 0.3706 | 137.0 | 548 | 0.8140 |
186
+ | 0.3706 | 138.0 | 552 | 0.8138 |
187
+ | 0.3706 | 139.0 | 556 | 0.8134 |
188
+ | 0.3706 | 140.0 | 560 | 0.8130 |
189
+ | 0.3706 | 141.0 | 564 | 0.8128 |
190
+ | 0.3706 | 142.0 | 568 | 0.8127 |
191
+ | 0.3706 | 143.0 | 572 | 0.8126 |
192
+ | 0.3706 | 144.0 | 576 | 0.8124 |
193
+ | 0.3706 | 145.0 | 580 | 0.8123 |
194
+ | 0.3706 | 146.0 | 584 | 0.8121 |
195
+ | 0.3706 | 147.0 | 588 | 0.8120 |
196
+ | 0.3706 | 148.0 | 592 | 0.8120 |
197
+ | 0.3706 | 149.0 | 596 | 0.8120 |
198
+ | 0.3706 | 150.0 | 600 | 0.8120 |
199
 
200
 
201
  ### Framework versions
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
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  size 327657928
 
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  size 327657928
runs/Jul01_13-38-05_viridian/events.out.tfevents.1719858404.viridian.3786935.2 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
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+ version https://git-lfs.github.com/spec/v1
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+ size 46135