metadata
license: mit
base_model: gpt2
tags:
- generated_from_trainer
model-index:
- name: k3-Entity-Relationship-GPT2
results: []
k3-Entity-Relationship-GPT2
This model is a fine-tuned version of gpt2 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0051
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0003
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 10
- total_train_batch_size: 80
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 500
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 1 | 0.2858 |
| No log | 2.0 | 2 | 0.1609 |
| No log | 3.0 | 3 | 0.1687 |
| No log | 4.0 | 4 | 0.1693 |
| No log | 5.0 | 5 | 0.1588 |
| No log | 6.0 | 6 | 0.1355 |
| No log | 7.0 | 7 | 0.1201 |
| No log | 8.0 | 8 | 0.1189 |
| No log | 9.0 | 9 | 0.1168 |
| 0.0164 | 10.0 | 10 | 0.1135 |
| 0.0164 | 11.0 | 11 | 0.1092 |
| 0.0164 | 12.0 | 12 | 0.1015 |
| 0.0164 | 13.0 | 13 | 0.0965 |
| 0.0164 | 14.0 | 14 | 0.0925 |
| 0.0164 | 15.0 | 15 | 0.0875 |
| 0.0164 | 16.0 | 16 | 0.0834 |
| 0.0164 | 17.0 | 17 | 0.0800 |
| 0.0164 | 18.0 | 18 | 0.0770 |
| 0.0164 | 19.0 | 19 | 0.0741 |
| 0.0097 | 20.0 | 20 | 0.0719 |
| 0.0097 | 21.0 | 21 | 0.0689 |
| 0.0097 | 22.0 | 22 | 0.0663 |
| 0.0097 | 23.0 | 23 | 0.0642 |
| 0.0097 | 24.0 | 24 | 0.0616 |
| 0.0097 | 25.0 | 25 | 0.0593 |
| 0.0097 | 26.0 | 26 | 0.0575 |
| 0.0097 | 27.0 | 27 | 0.0558 |
| 0.0097 | 28.0 | 28 | 0.0537 |
| 0.0097 | 29.0 | 29 | 0.0519 |
| 0.0065 | 30.0 | 30 | 0.0503 |
| 0.0065 | 31.0 | 31 | 0.0492 |
| 0.0065 | 32.0 | 32 | 0.0480 |
| 0.0065 | 33.0 | 33 | 0.0463 |
| 0.0065 | 34.0 | 34 | 0.0447 |
| 0.0065 | 35.0 | 35 | 0.0438 |
| 0.0065 | 36.0 | 36 | 0.0431 |
| 0.0065 | 37.0 | 37 | 0.0419 |
| 0.0065 | 38.0 | 38 | 0.0406 |
| 0.0065 | 39.0 | 39 | 0.0397 |
| 0.0048 | 40.0 | 40 | 0.0390 |
| 0.0048 | 41.0 | 41 | 0.0381 |
| 0.0048 | 42.0 | 42 | 0.0372 |
| 0.0048 | 43.0 | 43 | 0.0362 |
| 0.0048 | 44.0 | 44 | 0.0354 |
| 0.0048 | 45.0 | 45 | 0.0347 |
| 0.0048 | 46.0 | 46 | 0.0340 |
| 0.0048 | 47.0 | 47 | 0.0332 |
| 0.0048 | 48.0 | 48 | 0.0323 |
| 0.0048 | 49.0 | 49 | 0.0317 |
| 0.0037 | 50.0 | 50 | 0.0312 |
| 0.0037 | 51.0 | 51 | 0.0307 |
| 0.0037 | 52.0 | 52 | 0.0301 |
| 0.0037 | 53.0 | 53 | 0.0295 |
| 0.0037 | 54.0 | 54 | 0.0290 |
| 0.0037 | 55.0 | 55 | 0.0285 |
| 0.0037 | 56.0 | 56 | 0.0281 |
| 0.0037 | 57.0 | 57 | 0.0276 |
| 0.0037 | 58.0 | 58 | 0.0271 |
| 0.0037 | 59.0 | 59 | 0.0265 |
| 0.0031 | 60.0 | 60 | 0.0262 |
| 0.0031 | 61.0 | 61 | 0.0259 |
| 0.0031 | 62.0 | 62 | 0.0256 |
| 0.0031 | 63.0 | 63 | 0.0252 |
| 0.0031 | 64.0 | 64 | 0.0247 |
| 0.0031 | 65.0 | 65 | 0.0241 |
| 0.0031 | 66.0 | 66 | 0.0237 |
| 0.0031 | 67.0 | 67 | 0.0234 |
| 0.0031 | 68.0 | 68 | 0.0231 |
| 0.0031 | 69.0 | 69 | 0.0228 |
| 0.0026 | 70.0 | 70 | 0.0225 |
| 0.0026 | 71.0 | 71 | 0.0222 |
| 0.0026 | 72.0 | 72 | 0.0219 |
| 0.0026 | 73.0 | 73 | 0.0217 |
| 0.0026 | 74.0 | 74 | 0.0213 |
| 0.0026 | 75.0 | 75 | 0.0210 |
| 0.0026 | 76.0 | 76 | 0.0207 |
| 0.0026 | 77.0 | 77 | 0.0205 |
| 0.0026 | 78.0 | 78 | 0.0202 |
| 0.0026 | 79.0 | 79 | 0.0200 |
| 0.0023 | 80.0 | 80 | 0.0197 |
| 0.0023 | 81.0 | 81 | 0.0195 |
| 0.0023 | 82.0 | 82 | 0.0192 |
| 0.0023 | 83.0 | 83 | 0.0190 |
| 0.0023 | 84.0 | 84 | 0.0188 |
| 0.0023 | 85.0 | 85 | 0.0186 |
| 0.0023 | 86.0 | 86 | 0.0184 |
| 0.0023 | 87.0 | 87 | 0.0181 |
| 0.0023 | 88.0 | 88 | 0.0179 |
| 0.0023 | 89.0 | 89 | 0.0177 |
| 0.002 | 90.0 | 90 | 0.0175 |
| 0.002 | 91.0 | 91 | 0.0174 |
| 0.002 | 92.0 | 92 | 0.0173 |
| 0.002 | 93.0 | 93 | 0.0171 |
| 0.002 | 94.0 | 94 | 0.0169 |
| 0.002 | 95.0 | 95 | 0.0167 |
| 0.002 | 96.0 | 96 | 0.0166 |
| 0.002 | 97.0 | 97 | 0.0164 |
| 0.002 | 98.0 | 98 | 0.0162 |
| 0.002 | 99.0 | 99 | 0.0161 |
| 0.0018 | 100.0 | 100 | 0.0159 |
| 0.0018 | 101.0 | 101 | 0.0158 |
| 0.0018 | 102.0 | 102 | 0.0156 |
| 0.0018 | 103.0 | 103 | 0.0155 |
| 0.0018 | 104.0 | 104 | 0.0153 |
| 0.0018 | 105.0 | 105 | 0.0151 |
| 0.0018 | 106.0 | 106 | 0.0149 |
| 0.0018 | 107.0 | 107 | 0.0148 |
| 0.0018 | 108.0 | 108 | 0.0146 |
| 0.0018 | 109.0 | 109 | 0.0145 |
| 0.0016 | 110.0 | 110 | 0.0144 |
| 0.0016 | 111.0 | 111 | 0.0142 |
| 0.0016 | 112.0 | 112 | 0.0141 |
| 0.0016 | 113.0 | 113 | 0.0140 |
| 0.0016 | 114.0 | 114 | 0.0139 |
| 0.0016 | 115.0 | 115 | 0.0138 |
| 0.0016 | 116.0 | 116 | 0.0137 |
| 0.0016 | 117.0 | 117 | 0.0135 |
| 0.0016 | 118.0 | 118 | 0.0135 |
| 0.0016 | 119.0 | 119 | 0.0133 |
| 0.0015 | 120.0 | 120 | 0.0132 |
| 0.0015 | 121.0 | 121 | 0.0131 |
| 0.0015 | 122.0 | 122 | 0.0130 |
| 0.0015 | 123.0 | 123 | 0.0129 |
| 0.0015 | 124.0 | 124 | 0.0128 |
| 0.0015 | 125.0 | 125 | 0.0127 |
| 0.0015 | 126.0 | 126 | 0.0126 |
| 0.0015 | 127.0 | 127 | 0.0125 |
| 0.0015 | 128.0 | 128 | 0.0124 |
| 0.0015 | 129.0 | 129 | 0.0122 |
| 0.0014 | 130.0 | 130 | 0.0121 |
| 0.0014 | 131.0 | 131 | 0.0121 |
| 0.0014 | 132.0 | 132 | 0.0121 |
| 0.0014 | 133.0 | 133 | 0.0120 |
| 0.0014 | 134.0 | 134 | 0.0119 |
| 0.0014 | 135.0 | 135 | 0.0118 |
| 0.0014 | 136.0 | 136 | 0.0117 |
| 0.0014 | 137.0 | 137 | 0.0116 |
| 0.0014 | 138.0 | 138 | 0.0115 |
| 0.0014 | 139.0 | 139 | 0.0114 |
| 0.0013 | 140.0 | 140 | 0.0113 |
| 0.0013 | 141.0 | 141 | 0.0112 |
| 0.0013 | 142.0 | 142 | 0.0111 |
| 0.0013 | 143.0 | 143 | 0.0111 |
| 0.0013 | 144.0 | 144 | 0.0110 |
| 0.0013 | 145.0 | 145 | 0.0109 |
| 0.0013 | 146.0 | 146 | 0.0109 |
| 0.0013 | 147.0 | 147 | 0.0108 |
| 0.0013 | 148.0 | 148 | 0.0107 |
| 0.0013 | 149.0 | 149 | 0.0107 |
| 0.0012 | 150.0 | 150 | 0.0106 |
| 0.0012 | 151.0 | 151 | 0.0106 |
| 0.0012 | 152.0 | 152 | 0.0105 |
| 0.0012 | 153.0 | 153 | 0.0104 |
| 0.0012 | 154.0 | 154 | 0.0103 |
| 0.0012 | 155.0 | 155 | 0.0102 |
| 0.0012 | 156.0 | 156 | 0.0102 |
| 0.0012 | 157.0 | 157 | 0.0101 |
| 0.0012 | 158.0 | 158 | 0.0101 |
| 0.0012 | 159.0 | 159 | 0.0100 |
| 0.0011 | 160.0 | 160 | 0.0100 |
| 0.0011 | 161.0 | 161 | 0.0099 |
| 0.0011 | 162.0 | 162 | 0.0099 |
| 0.0011 | 163.0 | 163 | 0.0098 |
| 0.0011 | 164.0 | 164 | 0.0097 |
| 0.0011 | 165.0 | 165 | 0.0097 |
| 0.0011 | 166.0 | 166 | 0.0096 |
| 0.0011 | 167.0 | 167 | 0.0096 |
| 0.0011 | 168.0 | 168 | 0.0095 |
| 0.0011 | 169.0 | 169 | 0.0094 |
| 0.001 | 170.0 | 170 | 0.0094 |
| 0.001 | 171.0 | 171 | 0.0093 |
| 0.001 | 172.0 | 172 | 0.0092 |
| 0.001 | 173.0 | 173 | 0.0092 |
| 0.001 | 174.0 | 174 | 0.0091 |
| 0.001 | 175.0 | 175 | 0.0091 |
| 0.001 | 176.0 | 176 | 0.0090 |
| 0.001 | 177.0 | 177 | 0.0090 |
| 0.001 | 178.0 | 178 | 0.0090 |
| 0.001 | 179.0 | 179 | 0.0089 |
| 0.001 | 180.0 | 180 | 0.0089 |
| 0.001 | 181.0 | 181 | 0.0088 |
| 0.001 | 182.0 | 182 | 0.0088 |
| 0.001 | 183.0 | 183 | 0.0087 |
| 0.001 | 184.0 | 184 | 0.0087 |
| 0.001 | 185.0 | 185 | 0.0087 |
| 0.001 | 186.0 | 186 | 0.0086 |
| 0.001 | 187.0 | 187 | 0.0086 |
| 0.001 | 188.0 | 188 | 0.0086 |
| 0.001 | 189.0 | 189 | 0.0085 |
| 0.0009 | 190.0 | 190 | 0.0085 |
| 0.0009 | 191.0 | 191 | 0.0084 |
| 0.0009 | 192.0 | 192 | 0.0084 |
| 0.0009 | 193.0 | 193 | 0.0083 |
| 0.0009 | 194.0 | 194 | 0.0083 |
| 0.0009 | 195.0 | 195 | 0.0082 |
| 0.0009 | 196.0 | 196 | 0.0082 |
| 0.0009 | 197.0 | 197 | 0.0082 |
| 0.0009 | 198.0 | 198 | 0.0081 |
| 0.0009 | 199.0 | 199 | 0.0081 |
| 0.0009 | 200.0 | 200 | 0.0081 |
| 0.0009 | 201.0 | 201 | 0.0080 |
| 0.0009 | 202.0 | 202 | 0.0080 |
| 0.0009 | 203.0 | 203 | 0.0080 |
| 0.0009 | 204.0 | 204 | 0.0079 |
| 0.0009 | 205.0 | 205 | 0.0079 |
| 0.0009 | 206.0 | 206 | 0.0079 |
| 0.0009 | 207.0 | 207 | 0.0078 |
| 0.0009 | 208.0 | 208 | 0.0078 |
| 0.0009 | 209.0 | 209 | 0.0077 |
| 0.0009 | 210.0 | 210 | 0.0077 |
| 0.0009 | 211.0 | 211 | 0.0077 |
| 0.0009 | 212.0 | 212 | 0.0077 |
| 0.0009 | 213.0 | 213 | 0.0076 |
| 0.0009 | 214.0 | 214 | 0.0076 |
| 0.0009 | 215.0 | 215 | 0.0075 |
| 0.0009 | 216.0 | 216 | 0.0075 |
| 0.0009 | 217.0 | 217 | 0.0075 |
| 0.0009 | 218.0 | 218 | 0.0075 |
| 0.0009 | 219.0 | 219 | 0.0075 |
| 0.0008 | 220.0 | 220 | 0.0074 |
| 0.0008 | 221.0 | 221 | 0.0074 |
| 0.0008 | 222.0 | 222 | 0.0074 |
| 0.0008 | 223.0 | 223 | 0.0073 |
| 0.0008 | 224.0 | 224 | 0.0073 |
| 0.0008 | 225.0 | 225 | 0.0073 |
| 0.0008 | 226.0 | 226 | 0.0073 |
| 0.0008 | 227.0 | 227 | 0.0072 |
| 0.0008 | 228.0 | 228 | 0.0072 |
| 0.0008 | 229.0 | 229 | 0.0072 |
| 0.0008 | 230.0 | 230 | 0.0071 |
| 0.0008 | 231.0 | 231 | 0.0071 |
| 0.0008 | 232.0 | 232 | 0.0071 |
| 0.0008 | 233.0 | 233 | 0.0071 |
| 0.0008 | 234.0 | 234 | 0.0070 |
| 0.0008 | 235.0 | 235 | 0.0070 |
| 0.0008 | 236.0 | 236 | 0.0070 |
| 0.0008 | 237.0 | 237 | 0.0070 |
| 0.0008 | 238.0 | 238 | 0.0069 |
| 0.0008 | 239.0 | 239 | 0.0069 |
| 0.0008 | 240.0 | 240 | 0.0069 |
| 0.0008 | 241.0 | 241 | 0.0069 |
| 0.0008 | 242.0 | 242 | 0.0069 |
| 0.0008 | 243.0 | 243 | 0.0069 |
| 0.0008 | 244.0 | 244 | 0.0069 |
| 0.0008 | 245.0 | 245 | 0.0068 |
| 0.0008 | 246.0 | 246 | 0.0068 |
| 0.0008 | 247.0 | 247 | 0.0068 |
| 0.0008 | 248.0 | 248 | 0.0068 |
| 0.0008 | 249.0 | 249 | 0.0067 |
| 0.0007 | 250.0 | 250 | 0.0067 |
| 0.0007 | 251.0 | 251 | 0.0067 |
| 0.0007 | 252.0 | 252 | 0.0067 |
| 0.0007 | 253.0 | 253 | 0.0067 |
| 0.0007 | 254.0 | 254 | 0.0066 |
| 0.0007 | 255.0 | 255 | 0.0066 |
| 0.0007 | 256.0 | 256 | 0.0066 |
| 0.0007 | 257.0 | 257 | 0.0066 |
| 0.0007 | 258.0 | 258 | 0.0065 |
| 0.0007 | 259.0 | 259 | 0.0065 |
| 0.0007 | 260.0 | 260 | 0.0065 |
| 0.0007 | 261.0 | 261 | 0.0065 |
| 0.0007 | 262.0 | 262 | 0.0065 |
| 0.0007 | 263.0 | 263 | 0.0065 |
| 0.0007 | 264.0 | 264 | 0.0064 |
| 0.0007 | 265.0 | 265 | 0.0064 |
| 0.0007 | 266.0 | 266 | 0.0064 |
| 0.0007 | 267.0 | 267 | 0.0064 |
| 0.0007 | 268.0 | 268 | 0.0064 |
| 0.0007 | 269.0 | 269 | 0.0064 |
| 0.0007 | 270.0 | 270 | 0.0064 |
| 0.0007 | 271.0 | 271 | 0.0063 |
| 0.0007 | 272.0 | 272 | 0.0063 |
| 0.0007 | 273.0 | 273 | 0.0063 |
| 0.0007 | 274.0 | 274 | 0.0063 |
| 0.0007 | 275.0 | 275 | 0.0063 |
| 0.0007 | 276.0 | 276 | 0.0063 |
| 0.0007 | 277.0 | 277 | 0.0063 |
| 0.0007 | 278.0 | 278 | 0.0063 |
| 0.0007 | 279.0 | 279 | 0.0062 |
| 0.0007 | 280.0 | 280 | 0.0062 |
| 0.0007 | 281.0 | 281 | 0.0062 |
| 0.0007 | 282.0 | 282 | 0.0062 |
| 0.0007 | 283.0 | 283 | 0.0061 |
| 0.0007 | 284.0 | 284 | 0.0061 |
| 0.0007 | 285.0 | 285 | 0.0061 |
| 0.0007 | 286.0 | 286 | 0.0061 |
| 0.0007 | 287.0 | 287 | 0.0060 |
| 0.0007 | 288.0 | 288 | 0.0060 |
| 0.0007 | 289.0 | 289 | 0.0060 |
| 0.0007 | 290.0 | 290 | 0.0060 |
| 0.0007 | 291.0 | 291 | 0.0060 |
| 0.0007 | 292.0 | 292 | 0.0060 |
| 0.0007 | 293.0 | 293 | 0.0060 |
| 0.0007 | 294.0 | 294 | 0.0060 |
| 0.0007 | 295.0 | 295 | 0.0060 |
| 0.0007 | 296.0 | 296 | 0.0060 |
| 0.0007 | 297.0 | 297 | 0.0059 |
| 0.0007 | 298.0 | 298 | 0.0059 |
| 0.0007 | 299.0 | 299 | 0.0059 |
| 0.0006 | 300.0 | 300 | 0.0059 |
| 0.0006 | 301.0 | 301 | 0.0059 |
| 0.0006 | 302.0 | 302 | 0.0059 |
| 0.0006 | 303.0 | 303 | 0.0059 |
| 0.0006 | 304.0 | 304 | 0.0059 |
| 0.0006 | 305.0 | 305 | 0.0058 |
| 0.0006 | 306.0 | 306 | 0.0058 |
| 0.0006 | 307.0 | 307 | 0.0058 |
| 0.0006 | 308.0 | 308 | 0.0058 |
| 0.0006 | 309.0 | 309 | 0.0058 |
| 0.0006 | 310.0 | 310 | 0.0058 |
| 0.0006 | 311.0 | 311 | 0.0058 |
| 0.0006 | 312.0 | 312 | 0.0058 |
| 0.0006 | 313.0 | 313 | 0.0058 |
| 0.0006 | 314.0 | 314 | 0.0058 |
| 0.0006 | 315.0 | 315 | 0.0057 |
| 0.0006 | 316.0 | 316 | 0.0057 |
| 0.0006 | 317.0 | 317 | 0.0057 |
| 0.0006 | 318.0 | 318 | 0.0057 |
| 0.0006 | 319.0 | 319 | 0.0057 |
| 0.0006 | 320.0 | 320 | 0.0057 |
| 0.0006 | 321.0 | 321 | 0.0057 |
| 0.0006 | 322.0 | 322 | 0.0057 |
| 0.0006 | 323.0 | 323 | 0.0057 |
| 0.0006 | 324.0 | 324 | 0.0057 |
| 0.0006 | 325.0 | 325 | 0.0056 |
| 0.0006 | 326.0 | 326 | 0.0056 |
| 0.0006 | 327.0 | 327 | 0.0056 |
| 0.0006 | 328.0 | 328 | 0.0056 |
| 0.0006 | 329.0 | 329 | 0.0056 |
| 0.0006 | 330.0 | 330 | 0.0056 |
| 0.0006 | 331.0 | 331 | 0.0056 |
| 0.0006 | 332.0 | 332 | 0.0056 |
| 0.0006 | 333.0 | 333 | 0.0056 |
| 0.0006 | 334.0 | 334 | 0.0056 |
| 0.0006 | 335.0 | 335 | 0.0056 |
| 0.0006 | 336.0 | 336 | 0.0056 |
| 0.0006 | 337.0 | 337 | 0.0055 |
| 0.0006 | 338.0 | 338 | 0.0055 |
| 0.0006 | 339.0 | 339 | 0.0055 |
| 0.0006 | 340.0 | 340 | 0.0055 |
| 0.0006 | 341.0 | 341 | 0.0055 |
| 0.0006 | 342.0 | 342 | 0.0055 |
| 0.0006 | 343.0 | 343 | 0.0055 |
| 0.0006 | 344.0 | 344 | 0.0055 |
| 0.0006 | 345.0 | 345 | 0.0055 |
| 0.0006 | 346.0 | 346 | 0.0055 |
| 0.0006 | 347.0 | 347 | 0.0055 |
| 0.0006 | 348.0 | 348 | 0.0055 |
| 0.0006 | 349.0 | 349 | 0.0054 |
| 0.0006 | 350.0 | 350 | 0.0054 |
| 0.0006 | 351.0 | 351 | 0.0054 |
| 0.0006 | 352.0 | 352 | 0.0054 |
| 0.0006 | 353.0 | 353 | 0.0054 |
| 0.0006 | 354.0 | 354 | 0.0054 |
| 0.0006 | 355.0 | 355 | 0.0054 |
| 0.0006 | 356.0 | 356 | 0.0054 |
| 0.0006 | 357.0 | 357 | 0.0054 |
| 0.0006 | 358.0 | 358 | 0.0054 |
| 0.0006 | 359.0 | 359 | 0.0054 |
| 0.0006 | 360.0 | 360 | 0.0054 |
| 0.0006 | 361.0 | 361 | 0.0054 |
| 0.0006 | 362.0 | 362 | 0.0054 |
| 0.0006 | 363.0 | 363 | 0.0054 |
| 0.0006 | 364.0 | 364 | 0.0054 |
| 0.0006 | 365.0 | 365 | 0.0054 |
| 0.0006 | 366.0 | 366 | 0.0054 |
| 0.0006 | 367.0 | 367 | 0.0054 |
| 0.0006 | 368.0 | 368 | 0.0053 |
| 0.0006 | 369.0 | 369 | 0.0053 |
| 0.0006 | 370.0 | 370 | 0.0053 |
| 0.0006 | 371.0 | 371 | 0.0053 |
| 0.0006 | 372.0 | 372 | 0.0053 |
| 0.0006 | 373.0 | 373 | 0.0053 |
| 0.0006 | 374.0 | 374 | 0.0053 |
| 0.0006 | 375.0 | 375 | 0.0053 |
| 0.0006 | 376.0 | 376 | 0.0053 |
| 0.0006 | 377.0 | 377 | 0.0053 |
| 0.0006 | 378.0 | 378 | 0.0053 |
| 0.0006 | 379.0 | 379 | 0.0053 |
| 0.0006 | 380.0 | 380 | 0.0053 |
| 0.0006 | 381.0 | 381 | 0.0053 |
| 0.0006 | 382.0 | 382 | 0.0053 |
| 0.0006 | 383.0 | 383 | 0.0053 |
| 0.0006 | 384.0 | 384 | 0.0053 |
| 0.0006 | 385.0 | 385 | 0.0053 |
| 0.0006 | 386.0 | 386 | 0.0052 |
| 0.0006 | 387.0 | 387 | 0.0052 |
| 0.0006 | 388.0 | 388 | 0.0052 |
| 0.0006 | 389.0 | 389 | 0.0052 |
| 0.0006 | 390.0 | 390 | 0.0052 |
| 0.0006 | 391.0 | 391 | 0.0052 |
| 0.0006 | 392.0 | 392 | 0.0052 |
| 0.0006 | 393.0 | 393 | 0.0052 |
| 0.0006 | 394.0 | 394 | 0.0052 |
| 0.0006 | 395.0 | 395 | 0.0052 |
| 0.0006 | 396.0 | 396 | 0.0052 |
| 0.0006 | 397.0 | 397 | 0.0052 |
| 0.0006 | 398.0 | 398 | 0.0052 |
| 0.0006 | 399.0 | 399 | 0.0052 |
| 0.0006 | 400.0 | 400 | 0.0052 |
| 0.0006 | 401.0 | 401 | 0.0052 |
| 0.0006 | 402.0 | 402 | 0.0052 |
| 0.0006 | 403.0 | 403 | 0.0052 |
| 0.0006 | 404.0 | 404 | 0.0052 |
| 0.0006 | 405.0 | 405 | 0.0052 |
| 0.0006 | 406.0 | 406 | 0.0052 |
| 0.0006 | 407.0 | 407 | 0.0052 |
| 0.0006 | 408.0 | 408 | 0.0052 |
| 0.0006 | 409.0 | 409 | 0.0052 |
| 0.0006 | 410.0 | 410 | 0.0052 |
| 0.0006 | 411.0 | 411 | 0.0052 |
| 0.0006 | 412.0 | 412 | 0.0052 |
| 0.0006 | 413.0 | 413 | 0.0052 |
| 0.0006 | 414.0 | 414 | 0.0052 |
| 0.0006 | 415.0 | 415 | 0.0052 |
| 0.0006 | 416.0 | 416 | 0.0052 |
| 0.0006 | 417.0 | 417 | 0.0052 |
| 0.0006 | 418.0 | 418 | 0.0052 |
| 0.0006 | 419.0 | 419 | 0.0052 |
| 0.0006 | 420.0 | 420 | 0.0052 |
| 0.0006 | 421.0 | 421 | 0.0052 |
| 0.0006 | 422.0 | 422 | 0.0052 |
| 0.0006 | 423.0 | 423 | 0.0051 |
| 0.0006 | 424.0 | 424 | 0.0052 |
| 0.0006 | 425.0 | 425 | 0.0051 |
| 0.0006 | 426.0 | 426 | 0.0051 |
| 0.0006 | 427.0 | 427 | 0.0051 |
| 0.0006 | 428.0 | 428 | 0.0051 |
| 0.0006 | 429.0 | 429 | 0.0051 |
| 0.0006 | 430.0 | 430 | 0.0051 |
| 0.0006 | 431.0 | 431 | 0.0051 |
| 0.0006 | 432.0 | 432 | 0.0051 |
| 0.0006 | 433.0 | 433 | 0.0051 |
| 0.0006 | 434.0 | 434 | 0.0051 |
| 0.0006 | 435.0 | 435 | 0.0051 |
| 0.0006 | 436.0 | 436 | 0.0051 |
| 0.0006 | 437.0 | 437 | 0.0051 |
| 0.0006 | 438.0 | 438 | 0.0051 |
| 0.0006 | 439.0 | 439 | 0.0051 |
| 0.0006 | 440.0 | 440 | 0.0051 |
| 0.0006 | 441.0 | 441 | 0.0051 |
| 0.0006 | 442.0 | 442 | 0.0051 |
| 0.0006 | 443.0 | 443 | 0.0051 |
| 0.0006 | 444.0 | 444 | 0.0051 |
| 0.0006 | 445.0 | 445 | 0.0051 |
| 0.0006 | 446.0 | 446 | 0.0051 |
| 0.0006 | 447.0 | 447 | 0.0051 |
| 0.0006 | 448.0 | 448 | 0.0051 |
| 0.0006 | 449.0 | 449 | 0.0051 |
| 0.0006 | 450.0 | 450 | 0.0051 |
| 0.0006 | 451.0 | 451 | 0.0051 |
| 0.0006 | 452.0 | 452 | 0.0051 |
| 0.0006 | 453.0 | 453 | 0.0051 |
| 0.0006 | 454.0 | 454 | 0.0051 |
| 0.0006 | 455.0 | 455 | 0.0051 |
| 0.0006 | 456.0 | 456 | 0.0051 |
| 0.0006 | 457.0 | 457 | 0.0051 |
| 0.0006 | 458.0 | 458 | 0.0051 |
| 0.0006 | 459.0 | 459 | 0.0051 |
| 0.0006 | 460.0 | 460 | 0.0051 |
| 0.0006 | 461.0 | 461 | 0.0051 |
| 0.0006 | 462.0 | 462 | 0.0051 |
| 0.0006 | 463.0 | 463 | 0.0051 |
| 0.0006 | 464.0 | 464 | 0.0051 |
| 0.0006 | 465.0 | 465 | 0.0051 |
| 0.0006 | 466.0 | 466 | 0.0051 |
| 0.0006 | 467.0 | 467 | 0.0051 |
| 0.0006 | 468.0 | 468 | 0.0051 |
| 0.0006 | 469.0 | 469 | 0.0051 |
| 0.0006 | 470.0 | 470 | 0.0051 |
| 0.0006 | 471.0 | 471 | 0.0051 |
| 0.0006 | 472.0 | 472 | 0.0051 |
| 0.0006 | 473.0 | 473 | 0.0051 |
| 0.0006 | 474.0 | 474 | 0.0051 |
| 0.0006 | 475.0 | 475 | 0.0051 |
| 0.0006 | 476.0 | 476 | 0.0051 |
| 0.0006 | 477.0 | 477 | 0.0051 |
| 0.0006 | 478.0 | 478 | 0.0051 |
| 0.0006 | 479.0 | 479 | 0.0051 |
| 0.0006 | 480.0 | 480 | 0.0051 |
| 0.0006 | 481.0 | 481 | 0.0051 |
| 0.0006 | 482.0 | 482 | 0.0051 |
| 0.0006 | 483.0 | 483 | 0.0051 |
| 0.0006 | 484.0 | 484 | 0.0051 |
| 0.0006 | 485.0 | 485 | 0.0051 |
| 0.0006 | 486.0 | 486 | 0.0051 |
| 0.0006 | 487.0 | 487 | 0.0051 |
| 0.0006 | 488.0 | 488 | 0.0051 |
| 0.0006 | 489.0 | 489 | 0.0051 |
| 0.0006 | 490.0 | 490 | 0.0051 |
| 0.0006 | 491.0 | 491 | 0.0051 |
| 0.0006 | 492.0 | 492 | 0.0051 |
| 0.0006 | 493.0 | 493 | 0.0051 |
| 0.0006 | 494.0 | 494 | 0.0051 |
| 0.0006 | 495.0 | 495 | 0.0051 |
| 0.0006 | 496.0 | 496 | 0.0051 |
| 0.0006 | 497.0 | 497 | 0.0051 |
| 0.0006 | 498.0 | 498 | 0.0051 |
| 0.0006 | 499.0 | 499 | 0.0051 |
| 0.0006 | 500.0 | 500 | 0.0051 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1