Model save
Browse files- README.md +101 -101
- emissions.csv +1 -1
- model.safetensors +1 -1
- runs/Mar06_14-43-03_hcdsgpu2/events.out.tfevents.1709736189.hcdsgpu2.1137160.0 +3 -0
- training_args.bin +1 -1
README.md
CHANGED
@@ -13,7 +13,7 @@ should probably proofread and complete it, then remove this comment. -->
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This model was trained from scratch on the None dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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## Model description
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@@ -44,106 +44,106 @@ The following hyperparameters were used during training:
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| Training Loss | Epoch | Step | Validation Loss |
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|:-------------:|:-----:|:----:|:---------------:|
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| No log | 1.0 | 3 |
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48 |
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| No log | 2.0 | 6 |
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49 |
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| No log | 3.0 | 9 |
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50 |
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| No log | 4.0 | 12 |
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51 |
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| No log | 5.0 | 15 |
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52 |
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| No log | 6.0 | 18 |
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53 |
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| No log | 7.0 | 21 |
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54 |
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| No log | 8.0 | 24 |
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55 |
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| No log | 9.0 | 27 |
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56 |
-
| No log | 10.0 | 30 |
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57 |
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| No log | 11.0 | 33 |
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58 |
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| No log | 12.0 | 36 |
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59 |
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| No log | 13.0 | 39 |
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60 |
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| No log | 14.0 | 42 |
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61 |
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| No log | 15.0 | 45 |
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62 |
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| No log | 16.0 | 48 |
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63 |
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| No log | 17.0 | 51 |
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64 |
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| No log | 18.0 | 54 |
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65 |
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| No log | 19.0 | 57 | 2.
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66 |
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| No log | 20.0 | 60 | 2.
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67 |
-
| No log | 21.0 | 63 | 2.
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68 |
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| No log | 22.0 | 66 | 2.
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69 |
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| No log | 23.0 | 69 | 2.
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70 |
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| No log | 24.0 | 72 | 2.
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71 |
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| No log | 25.0 | 75 | 2.
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72 |
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| No log | 26.0 | 78 | 2.
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73 |
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| No log | 27.0 | 81 | 2.
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74 |
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| No log | 28.0 | 84 | 2.
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75 |
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| No log | 29.0 | 87 | 2.
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76 |
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| No log | 30.0 | 90 | 2.
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77 |
-
| No log | 31.0 | 93 | 2.
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78 |
-
| No log | 32.0 | 96 |
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79 |
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| No log | 33.0 | 99 |
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80 |
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| No log | 34.0 | 102 |
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81 |
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| No log | 35.0 | 105 |
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82 |
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| No log | 36.0 | 108 |
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83 |
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| No log | 37.0 | 111 |
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84 |
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| No log | 38.0 | 114 |
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85 |
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| No log | 39.0 | 117 |
|
86 |
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| No log | 40.0 | 120 |
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87 |
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| No log | 41.0 | 123 |
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88 |
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| No log | 42.0 | 126 |
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89 |
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| No log | 43.0 | 129 |
|
90 |
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| No log | 44.0 | 132 |
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91 |
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| No log | 45.0 | 135 |
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92 |
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| No log | 46.0 | 138 |
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93 |
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| No log | 47.0 | 141 |
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94 |
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| No log | 48.0 | 144 |
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| No log | 49.0 | 147 |
|
96 |
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| No log | 50.0 | 150 |
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97 |
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| No log | 51.0 | 153 |
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98 |
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| No log | 52.0 | 156 |
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99 |
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| No log | 53.0 | 159 |
|
100 |
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| No log | 54.0 | 162 |
|
101 |
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| No log | 55.0 | 165 |
|
102 |
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| No log | 56.0 | 168 |
|
103 |
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| No log | 57.0 | 171 |
|
104 |
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| No log | 58.0 | 174 |
|
105 |
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| No log | 59.0 | 177 |
|
106 |
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| No log | 60.0 | 180 |
|
107 |
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| No log | 61.0 | 183 |
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108 |
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| No log | 62.0 | 186 |
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109 |
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| No log | 63.0 | 189 |
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110 |
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| No log | 64.0 | 192 |
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111 |
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| No log | 65.0 | 195 |
|
112 |
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| No log | 66.0 | 198 |
|
113 |
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| No log | 67.0 | 201 |
|
114 |
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| No log | 68.0 | 204 |
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115 |
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| No log | 69.0 | 207 |
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116 |
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| No log | 70.0 | 210 |
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117 |
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| No log | 71.0 | 213 |
|
118 |
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| No log | 72.0 | 216 |
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119 |
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| No log | 73.0 | 219 |
|
120 |
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| No log | 74.0 | 222 |
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121 |
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| No log | 75.0 | 225 |
|
122 |
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| No log | 76.0 | 228 |
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123 |
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| No log | 77.0 | 231 |
|
124 |
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| No log | 78.0 | 234 |
|
125 |
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| No log | 79.0 | 237 |
|
126 |
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| No log | 80.0 | 240 |
|
127 |
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| No log | 81.0 | 243 |
|
128 |
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| No log | 82.0 | 246 |
|
129 |
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| No log | 83.0 | 249 |
|
130 |
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| No log | 84.0 | 252 |
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131 |
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| No log | 85.0 | 255 |
|
132 |
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| No log | 86.0 | 258 |
|
133 |
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| No log | 87.0 | 261 |
|
134 |
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| No log | 88.0 | 264 |
|
135 |
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| No log | 89.0 | 267 |
|
136 |
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| No log | 90.0 | 270 |
|
137 |
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| No log | 91.0 | 273 |
|
138 |
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| No log | 92.0 | 276 |
|
139 |
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| No log | 93.0 | 279 |
|
140 |
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| No log | 94.0 | 282 |
|
141 |
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| No log | 95.0 | 285 |
|
142 |
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| No log | 96.0 | 288 |
|
143 |
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| No log | 97.0 | 291 |
|
144 |
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| No log | 98.0 | 294 |
|
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| No log | 99.0 | 297 |
|
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| No log | 100.0 | 300 |
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148 |
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### Framework versions
|
|
|
13 |
|
14 |
This model was trained from scratch on the None dataset.
|
15 |
It achieves the following results on the evaluation set:
|
16 |
+
- Loss: 1.1554
|
17 |
|
18 |
## Model description
|
19 |
|
|
|
44 |
|
45 |
| Training Loss | Epoch | Step | Validation Loss |
|
46 |
|:-------------:|:-----:|:----:|:---------------:|
|
47 |
+
| No log | 1.0 | 3 | 6.3212 |
|
48 |
+
| No log | 2.0 | 6 | 6.2478 |
|
49 |
+
| No log | 3.0 | 9 | 6.0992 |
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50 |
+
| No log | 4.0 | 12 | 5.8910 |
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51 |
+
| No log | 5.0 | 15 | 5.3419 |
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52 |
+
| No log | 6.0 | 18 | 5.2077 |
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53 |
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| No log | 7.0 | 21 | 5.0437 |
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54 |
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| No log | 8.0 | 24 | 4.8946 |
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55 |
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| No log | 9.0 | 27 | 4.7876 |
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56 |
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| No log | 10.0 | 30 | 4.4466 |
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57 |
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| No log | 11.0 | 33 | 4.2105 |
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58 |
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| No log | 12.0 | 36 | 3.8482 |
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59 |
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| No log | 13.0 | 39 | 3.6657 |
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60 |
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| No log | 14.0 | 42 | 3.5262 |
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61 |
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| No log | 15.0 | 45 | 3.4486 |
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62 |
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| No log | 16.0 | 48 | 3.2999 |
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63 |
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| No log | 17.0 | 51 | 3.2247 |
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64 |
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| No log | 18.0 | 54 | 3.1381 |
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65 |
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| No log | 19.0 | 57 | 2.9505 |
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| No log | 20.0 | 60 | 2.9027 |
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| No log | 21.0 | 63 | 2.8186 |
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| No log | 22.0 | 66 | 2.8264 |
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| No log | 23.0 | 69 | 2.6828 |
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70 |
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| No log | 24.0 | 72 | 2.6195 |
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71 |
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| No log | 25.0 | 75 | 2.4215 |
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| No log | 26.0 | 78 | 2.3506 |
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73 |
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| No log | 27.0 | 81 | 2.4491 |
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| No log | 28.0 | 84 | 2.2961 |
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| No log | 29.0 | 87 | 2.2478 |
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| No log | 30.0 | 90 | 2.2342 |
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| No log | 31.0 | 93 | 2.1921 |
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78 |
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| No log | 32.0 | 96 | 2.1144 |
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| No log | 33.0 | 99 | 1.8770 |
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| No log | 34.0 | 102 | 2.0223 |
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81 |
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| No log | 35.0 | 105 | 1.9032 |
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82 |
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| No log | 36.0 | 108 | 1.8026 |
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| No log | 37.0 | 111 | 1.8888 |
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84 |
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| No log | 38.0 | 114 | 1.7613 |
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85 |
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| No log | 39.0 | 117 | 1.7523 |
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86 |
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| No log | 40.0 | 120 | 1.6841 |
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87 |
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| No log | 41.0 | 123 | 1.6183 |
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88 |
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| No log | 42.0 | 126 | 1.6989 |
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| No log | 43.0 | 129 | 1.5156 |
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| No log | 44.0 | 132 | 1.6684 |
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91 |
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| No log | 45.0 | 135 | 1.6410 |
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| No log | 46.0 | 138 | 1.3884 |
|
93 |
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| No log | 47.0 | 141 | 1.4724 |
|
94 |
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| No log | 48.0 | 144 | 1.4343 |
|
95 |
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| No log | 49.0 | 147 | 1.3841 |
|
96 |
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| No log | 50.0 | 150 | 1.2559 |
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97 |
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| No log | 51.0 | 153 | 1.3226 |
|
98 |
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| No log | 52.0 | 156 | 1.4074 |
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99 |
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| No log | 53.0 | 159 | 1.3355 |
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| No log | 54.0 | 162 | 1.3603 |
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| No log | 55.0 | 165 | 1.3612 |
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| No log | 56.0 | 168 | 1.3112 |
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| No log | 57.0 | 171 | 1.3595 |
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| No log | 58.0 | 174 | 1.3395 |
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| No log | 59.0 | 177 | 1.2835 |
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| No log | 60.0 | 180 | 1.3380 |
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| No log | 61.0 | 183 | 1.3221 |
|
108 |
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| No log | 62.0 | 186 | 1.2596 |
|
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| No log | 63.0 | 189 | 1.2257 |
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| No log | 64.0 | 192 | 1.2678 |
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| No log | 65.0 | 195 | 1.2746 |
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112 |
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| No log | 66.0 | 198 | 1.2055 |
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113 |
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| No log | 67.0 | 201 | 1.1874 |
|
114 |
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| No log | 68.0 | 204 | 1.2531 |
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| No log | 69.0 | 207 | 1.2856 |
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| No log | 70.0 | 210 | 1.2025 |
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| No log | 71.0 | 213 | 1.1595 |
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| No log | 72.0 | 216 | 1.2038 |
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| No log | 73.0 | 219 | 1.2413 |
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| No log | 74.0 | 222 | 1.2031 |
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| No log | 75.0 | 225 | 1.1367 |
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| No log | 76.0 | 228 | 1.1172 |
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| No log | 77.0 | 231 | 1.1705 |
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| No log | 78.0 | 234 | 1.2407 |
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| No log | 79.0 | 237 | 1.2265 |
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| No log | 80.0 | 240 | 1.1681 |
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| No log | 81.0 | 243 | 1.1485 |
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128 |
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| No log | 82.0 | 246 | 1.1626 |
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129 |
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| No log | 83.0 | 249 | 1.1758 |
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130 |
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| No log | 84.0 | 252 | 1.1984 |
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131 |
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| No log | 85.0 | 255 | 1.2050 |
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132 |
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| No log | 86.0 | 258 | 1.1858 |
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133 |
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| No log | 87.0 | 261 | 1.1767 |
|
134 |
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| No log | 88.0 | 264 | 1.1605 |
|
135 |
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| No log | 89.0 | 267 | 1.1615 |
|
136 |
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| No log | 90.0 | 270 | 1.1741 |
|
137 |
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| No log | 91.0 | 273 | 1.1772 |
|
138 |
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| No log | 92.0 | 276 | 1.1721 |
|
139 |
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| No log | 93.0 | 279 | 1.1670 |
|
140 |
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| No log | 94.0 | 282 | 1.1610 |
|
141 |
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| No log | 95.0 | 285 | 1.1554 |
|
142 |
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| No log | 96.0 | 288 | 1.1532 |
|
143 |
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| No log | 97.0 | 291 | 1.1576 |
|
144 |
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| No log | 98.0 | 294 | 1.1576 |
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145 |
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| No log | 99.0 | 297 | 1.1564 |
|
146 |
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| No log | 100.0 | 300 | 1.1554 |
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148 |
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149 |
### Framework versions
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emissions.csv
CHANGED
@@ -1,2 +1,2 @@
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timestamp,project_name,run_id,duration,emissions,emissions_rate,cpu_power,gpu_power,ram_power,cpu_energy,gpu_energy,ram_energy,energy_consumed,country_name,country_iso_code,region,cloud_provider,cloud_region,os,python_version,codecarbon_version,cpu_count,cpu_model,gpu_count,gpu_model,longitude,latitude,ram_total_size,tracking_mode,on_cloud,pue
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-
2024-03-
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timestamp,project_name,run_id,duration,emissions,emissions_rate,cpu_power,gpu_power,ram_power,cpu_energy,gpu_energy,ram_energy,energy_consumed,country_name,country_iso_code,region,cloud_provider,cloud_region,os,python_version,codecarbon_version,cpu_count,cpu_model,gpu_count,gpu_model,longitude,latitude,ram_total_size,tracking_mode,on_cloud,pue
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+
2024-03-06T14:47:27,codecarbon,203d5bf2-8478-4a7d-9ad4-932423a6d133,257.93742084503174,0.03867244058515499,0.00014992954670345918,112.5,1055.42,377.88994789123535,0.00806042391806841,0.07405592252637505,0.027030097517192552,0.10914644396163602,Germany,DEU,free and hanseatic city of hamburg,,,Linux-6.5.0-21-generic-x86_64-with-glibc2.35,3.11.4,2.2.3,128,AMD EPYC 7543 32-Core Processor,4,4 x NVIDIA A40,9.9683,53.5649,1007.7065277099609,machine,N,1.0
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model.safetensors
CHANGED
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 496250232
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version https://git-lfs.github.com/spec/v1
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oid sha256:d94a5b7434940f984fab3e87e17baba93b8ee35cd636ba199d763e4eafbfca0e
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size 496250232
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runs/Mar06_14-43-03_hcdsgpu2/events.out.tfevents.1709736189.hcdsgpu2.1137160.0
ADDED
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1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:2f4992ddfa0052a35c1e55edd6a7658c8b09380fce83aa84c75d8615b3f44dea
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+
size 31954
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training_args.bin
CHANGED
@@ -1,3 +1,3 @@
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 4920
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version https://git-lfs.github.com/spec/v1
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+
oid sha256:2f588c483cb3130d60e545f892a9554ed9b463ef136411f06e07bb8c1ef5f8f1
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size 4920
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