File size: 14,878 Bytes
4ac390b 0b9a758 4ac390b 09f008e 4ac390b e6764b0 e157526 f218035 f5dd9c5 41d0518 777d5dc 10f9f83 970a641 fec4faf 8708dda 5e0f426 fb018b6 de42ca1 aaa67df 3fb6775 a0263d6 3358e4f 44d4e29 974bcd6 b2acb67 cf4c6c7 e8cfbf5 19437d3 b600b90 0ef3107 c17d232 f796b5f 1354141 d539b96 e924aac fc85dbb 521cef9 b6b7cd6 d861991 1c4b5dd 70edd4d a1cf9cc bd583a0 5c3204d a452b8d 058907d b14c04a 6edce08 fe2fb46 1214b77 b0003bd 71b07e3 1f8f811 1ae8a2a 07f62a8 7844ed8 2310610 2599302 b9870da 2a90368 bb6bf79 e3f499c a896c19 514d17d f6c3ba5 64de348 4bac068 8e2c4b8 4b38070 d8ab572 dd00420 d95bb4c bffaae5 5e2ed8c 3b54d80 e05efe8 7c56494 0a31c0b a6c706d 2ab6159 f5089bf 56e371c 65c6d4d b065eb9 c797b89 0222e93 79c79c1 508e159 c244aa3 a525f8b f620e37 12aeb9a f42b262 8296f74 0fa44b9 578390f a57513c 106ae88 7ea27f6 9a09919 d7576a1 ba92270 86e4c29 58d5557 e4a497d 0c6ae82 cf7e73d 5b18b39 e5578f6 82d0407 9adeec6 1fd7105 946787b b6cc500 2325e8f 7a42336 8500ddd 506b983 c927e92 248a29f 87c12c6 a292ca0 173f623 4aec826 46402b8 5bd414e 9e5f9bb d74caa4 2511d7c 5e99420 915f493 a697095 953820b 9b69092 8bda16d a1d220c 1b5d28e 966c5a5 c9d752d 4a4223f 9b98835 061454d 7c50474 2d80d9d 9b0ec3b 9dbc6b1 9c60f69 016fc82 dddb0a4 7fe0ebd 1483ac6 02cabdc eee0ffd 069aef0 71b69eb f5d6c5a 1bd6160 cbdbfe1 80df19e ad1be4e 4fed189 9ad9f0e 0e1c3bb 4e4121e 4b3ab27 d976e0f 8f9ae6e d0adbc7 4fdbbbd 93648bd c56fa2f 0c61072 edf5b59 67310dd 8512856 12209f5 900fb01 4d833f7 c671f28 36ec04a 0b9a758 e237f15 e2cebc8 00c8d1e 23dc1f5 62f68de be6e183 526ac48 ca72337 dfc26eb 2f4fc02 806a9fb 5fb0fae 9e85b83 f494690 f2d6626 854727d 49702c0 0a0fa56 8a72637 aa14936 8d514a2 21657fa 51a910f 80e89fd 901c2cf e1c752f bf3ba08 7bdab47 d1c8680 31d1fe7 304d018 5f21261 5fa95d6 07eb85b 0e0f39a 2ebfec8 c8581b1 321648e 01e53ab a54c0cb 7273d3c 0d8fef6 9decd91 add7dbf 9f33803 d621373 55a22ff 785706b 8713cdd 44bdb00 b62760e 55788ec 08bd8e3 c1d519f cfecc80 5353605 54efda2 02deb33 5960740 ba1738e b4e8884 255c13f 18215cf 4496659 703be73 6266c15 20b2c4a d52fd8b 0e505ed 54a7f1d aa0d82c 9d1ee47 4eb0f1e 492ed7e d88d571 d2b1c6d 4344275 12698fa 02ca62a 065c519 13af4ba 06eda66 c1048e3 28990e1 c90b7f9 2d923be b6a1632 496fe77 eab9d90 286421d b480181 7b70544 9938cd4 b9692c2 de9ae9e c537df4 22e7eb1 3b67dcb 6476ba4 706f8d4 34fbd5d 3ec824a 2048b33 3ff504d 7dd1eaf bec8a3e 86a552e 35d3698 12ef1cf 65a35b7 aa97129 ef7c838 d554fe8 aa3085a fe29228 180bf1a de5a0c7 41c1df1 afa20e1 01b68ee 965d74d bebbaca b5a148a dca8d2b cfe79d3 2ac5819 db4c326 4cd7d09 fcf01fd dc4b27a 22f2cd8 ec67069 0a610d6 96b2d00 293741b ca5a2e3 163177a ac842d5 dd648e8 a398cc0 91a6fe2 0d38340 ecfc757 7c4e77d 20367e0 21f0c59 60eba26 3ae16c9 defc5c8 cda8484 bc88c8b 0427edd 7d8ba3a 09f008e 4ac390b |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 |
---
license: apache-2.0
base_model: facebook/bart-base
tags:
- generated_from_keras_callback
model-index:
- name: pijarcandra22/NMTIndoBaliBART
results: []
---
<!-- This model card has been generated automatically according to the information Keras had access to. You should
probably proofread and complete it, then remove this comment. -->
# pijarcandra22/NMTIndoBaliBART
This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Train Loss: 5.5346
- Validation Loss: 5.5566
- Epoch: 330
## 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:
- optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 0.02, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01}
- training_precision: float32
### Training results
| Train Loss | Validation Loss | Epoch |
|:----------:|:---------------:|:-----:|
| 9.7885 | 5.6003 | 0 |
| 5.5737 | 5.5523 | 1 |
| 5.5346 | 5.5361 | 2 |
| 5.5189 | 5.5283 | 3 |
| 5.5149 | 5.5252 | 4 |
| 5.5123 | 5.5233 | 5 |
| 5.5116 | 5.5485 | 6 |
| 5.5095 | 5.5314 | 7 |
| 5.5120 | 5.5569 | 8 |
| 5.5137 | 5.5239 | 9 |
| 5.5170 | 5.5289 | 10 |
| 5.5180 | 5.5298 | 11 |
| 5.5217 | 5.5513 | 12 |
| 5.5219 | 5.5344 | 13 |
| 5.5248 | 5.5366 | 14 |
| 5.5268 | 5.5493 | 15 |
| 5.5260 | 5.5313 | 16 |
| 5.5290 | 5.5462 | 17 |
| 5.5299 | 5.5570 | 18 |
| 5.5293 | 5.5480 | 19 |
| 5.5378 | 5.5524 | 20 |
| 5.5317 | 5.5740 | 21 |
| 5.5328 | 5.5543 | 22 |
| 5.5327 | 5.5537 | 23 |
| 5.5330 | 5.5356 | 24 |
| 5.5304 | 5.5492 | 25 |
| 5.5355 | 5.5388 | 26 |
| 5.5337 | 5.5812 | 27 |
| 5.5355 | 5.5598 | 28 |
| 5.5348 | 5.5489 | 29 |
| 5.5373 | 5.5526 | 30 |
| 5.5357 | 5.5575 | 31 |
| 5.5377 | 5.5439 | 32 |
| 5.5404 | 5.5367 | 33 |
| 5.5383 | 5.5819 | 34 |
| 5.5359 | 5.5815 | 35 |
| 5.5370 | 5.5499 | 36 |
| 5.5340 | 5.5622 | 37 |
| 5.5373 | 5.5667 | 38 |
| 5.5360 | 5.5548 | 39 |
| 5.5327 | 5.5555 | 40 |
| 5.5365 | 5.5642 | 41 |
| 5.5375 | 5.5496 | 42 |
| 5.5336 | 5.5424 | 43 |
| 5.5359 | 5.5761 | 44 |
| 5.5360 | 5.5821 | 45 |
| 5.5362 | 5.5742 | 46 |
| 5.5352 | 5.5635 | 47 |
| 5.5335 | 5.5507 | 48 |
| 5.5340 | 5.5613 | 49 |
| 5.5368 | 5.5599 | 50 |
| 5.5375 | 5.5541 | 51 |
| 5.5368 | 5.5536 | 52 |
| 5.5366 | 5.5438 | 53 |
| 5.5363 | 5.5497 | 54 |
| 5.5364 | 5.5721 | 55 |
| 5.5388 | 5.5493 | 56 |
| 5.5361 | 5.5719 | 57 |
| 5.5372 | 5.5920 | 58 |
| 5.5346 | 5.5534 | 59 |
| 5.5354 | 5.5526 | 60 |
| 5.5357 | 5.5788 | 61 |
| 5.5370 | 5.5531 | 62 |
| 5.5374 | 5.5613 | 63 |
| 5.5366 | 5.5585 | 64 |
| 5.5370 | 5.5652 | 65 |
| 5.5354 | 5.5463 | 66 |
| 5.5354 | 5.5689 | 67 |
| 5.5355 | 5.5508 | 68 |
| 5.5350 | 5.5522 | 69 |
| 5.5334 | 5.5574 | 70 |
| 5.5354 | 5.5555 | 71 |
| 5.5354 | 5.5503 | 72 |
| 5.5368 | 5.5562 | 73 |
| 5.5373 | 5.5524 | 74 |
| 5.5356 | 5.5544 | 75 |
| 5.5365 | 5.5508 | 76 |
| 5.5357 | 5.5650 | 77 |
| 5.5355 | 5.5665 | 78 |
| 5.5365 | 5.5471 | 79 |
| 5.5356 | 5.5535 | 80 |
| 5.5357 | 5.5801 | 81 |
| 5.5354 | 5.5570 | 82 |
| 5.5361 | 5.5596 | 83 |
| 5.5377 | 5.5584 | 84 |
| 5.5333 | 5.5570 | 85 |
| 5.5348 | 5.5513 | 86 |
| 5.5367 | 5.5508 | 87 |
| 5.5354 | 5.5333 | 88 |
| 5.5375 | 5.5530 | 89 |
| 5.5353 | 5.5386 | 90 |
| 5.5372 | 5.5966 | 91 |
| 5.5365 | 5.5582 | 92 |
| 5.5349 | 5.5776 | 93 |
| 5.5348 | 5.5700 | 94 |
| 5.5356 | 5.5518 | 95 |
| 5.5371 | 5.5692 | 96 |
| 5.5374 | 5.5572 | 97 |
| 5.5369 | 5.5621 | 98 |
| 5.5343 | 5.5593 | 99 |
| 5.5372 | 5.5698 | 100 |
| 5.5367 | 5.5422 | 101 |
| 5.5366 | 5.5846 | 102 |
| 5.5387 | 5.5687 | 103 |
| 5.5377 | 5.5590 | 104 |
| 5.5307 | 5.5640 | 105 |
| 5.5360 | 5.5421 | 106 |
| 5.5355 | 5.5542 | 107 |
| 5.5346 | 5.5460 | 108 |
| 5.5375 | 5.5610 | 109 |
| 5.5332 | 5.5676 | 110 |
| 5.5355 | 5.5364 | 111 |
| 5.5332 | 5.5630 | 112 |
| 5.5363 | 5.5600 | 113 |
| 5.5362 | 5.5705 | 114 |
| 5.5358 | 5.5700 | 115 |
| 5.5368 | 5.5578 | 116 |
| 5.5364 | 5.5531 | 117 |
| 5.5345 | 5.5688 | 118 |
| 5.5350 | 5.5620 | 119 |
| 5.5336 | 5.5764 | 120 |
| 5.5364 | 5.5476 | 121 |
| 5.5358 | 5.5623 | 122 |
| 5.5364 | 5.5569 | 123 |
| 5.5337 | 5.5713 | 124 |
| 5.5346 | 5.5936 | 125 |
| 5.5357 | 5.5645 | 126 |
| 5.5358 | 5.5566 | 127 |
| 5.5399 | 5.5494 | 128 |
| 5.5362 | 5.5586 | 129 |
| 5.5394 | 5.5611 | 130 |
| 5.5355 | 5.5691 | 131 |
| 5.5361 | 5.5471 | 132 |
| 5.5343 | 5.5549 | 133 |
| 5.5379 | 5.5587 | 134 |
| 5.5380 | 5.5728 | 135 |
| 5.5366 | 5.5780 | 136 |
| 5.5363 | 5.5567 | 137 |
| 5.5395 | 5.5515 | 138 |
| 5.5337 | 5.5563 | 139 |
| 5.5341 | 5.5561 | 140 |
| 5.5336 | 5.5520 | 141 |
| 5.5340 | 5.5689 | 142 |
| 5.5363 | 5.5472 | 143 |
| 5.5356 | 5.5503 | 144 |
| 5.5338 | 5.5630 | 145 |
| 5.5357 | 5.5385 | 146 |
| 5.5349 | 5.5545 | 147 |
| 5.5363 | 5.5514 | 148 |
| 5.5361 | 5.5591 | 149 |
| 5.5379 | 5.5567 | 150 |
| 5.5340 | 5.5434 | 151 |
| 5.5362 | 5.5677 | 152 |
| 5.5350 | 5.5574 | 153 |
| 5.5356 | 5.5782 | 154 |
| 5.5371 | 5.5484 | 155 |
| 5.5330 | 5.5557 | 156 |
| 5.5340 | 5.5583 | 157 |
| 5.5350 | 5.5641 | 158 |
| 5.5350 | 5.5595 | 159 |
| 5.5356 | 5.5622 | 160 |
| 5.5386 | 5.5545 | 161 |
| 5.5347 | 5.5667 | 162 |
| 5.5318 | 5.5692 | 163 |
| 5.5370 | 5.5704 | 164 |
| 5.5361 | 5.5654 | 165 |
| 5.5358 | 5.5645 | 166 |
| 5.5337 | 5.5518 | 167 |
| 5.5356 | 5.5574 | 168 |
| 5.5364 | 5.5621 | 169 |
| 5.5360 | 5.5573 | 170 |
| 5.5388 | 5.5438 | 171 |
| 5.5343 | 5.5623 | 172 |
| 5.5368 | 5.5505 | 173 |
| 5.5345 | 5.5798 | 174 |
| 5.5369 | 5.5449 | 175 |
| 5.5364 | 5.5664 | 176 |
| 5.5365 | 5.5530 | 177 |
| 5.5369 | 5.5533 | 178 |
| 5.5348 | 5.5432 | 179 |
| 5.5379 | 5.5875 | 180 |
| 5.5370 | 5.5531 | 181 |
| 5.5340 | 5.5695 | 182 |
| 5.5372 | 5.5529 | 183 |
| 5.5356 | 5.5778 | 184 |
| 5.5371 | 5.5465 | 185 |
| 5.5370 | 5.5459 | 186 |
| 5.5356 | 5.5457 | 187 |
| 5.5375 | 5.5761 | 188 |
| 5.5338 | 5.5409 | 189 |
| 5.5369 | 5.5698 | 190 |
| 5.5373 | 5.5665 | 191 |
| 5.5361 | 5.5677 | 192 |
| 5.5355 | 5.5775 | 193 |
| 5.5372 | 5.5649 | 194 |
| 5.5355 | 5.5477 | 195 |
| 5.5328 | 5.5492 | 196 |
| 5.5342 | 5.5575 | 197 |
| 5.5331 | 5.5774 | 198 |
| 5.5362 | 5.5631 | 199 |
| 5.5350 | 5.5539 | 200 |
| 5.5365 | 5.5799 | 201 |
| 5.5372 | 5.5630 | 202 |
| 5.5341 | 5.5584 | 203 |
| 5.5353 | 5.5616 | 204 |
| 5.5351 | 5.5764 | 205 |
| 5.5374 | 5.5692 | 206 |
| 5.5363 | 5.5608 | 207 |
| 5.5345 | 5.5611 | 208 |
| 5.5381 | 5.5643 | 209 |
| 5.5363 | 5.5719 | 210 |
| 5.5386 | 5.5536 | 211 |
| 5.5329 | 5.5757 | 212 |
| 5.5360 | 5.5405 | 213 |
| 5.5356 | 5.5525 | 214 |
| 5.5354 | 5.5423 | 215 |
| 5.5382 | 5.5476 | 216 |
| 5.5353 | 5.5623 | 217 |
| 5.5344 | 5.5716 | 218 |
| 5.5361 | 5.5569 | 219 |
| 5.5369 | 5.5536 | 220 |
| 5.5370 | 5.5726 | 221 |
| 5.5366 | 5.5520 | 222 |
| 5.5370 | 5.5698 | 223 |
| 5.5342 | 5.5522 | 224 |
| 5.5367 | 5.5438 | 225 |
| 5.5373 | 5.5474 | 226 |
| 5.5317 | 5.5634 | 227 |
| 5.5350 | 5.5669 | 228 |
| 5.5360 | 5.5631 | 229 |
| 5.5370 | 5.5553 | 230 |
| 5.5347 | 5.5452 | 231 |
| 5.5347 | 5.5600 | 232 |
| 5.5351 | 5.5551 | 233 |
| 5.5360 | 5.5625 | 234 |
| 5.5409 | 5.5640 | 235 |
| 5.5362 | 5.5596 | 236 |
| 5.5340 | 5.5506 | 237 |
| 5.5372 | 5.5549 | 238 |
| 5.5340 | 5.5879 | 239 |
| 5.5355 | 5.5609 | 240 |
| 5.5376 | 5.5627 | 241 |
| 5.5354 | 5.5903 | 242 |
| 5.5358 | 5.5591 | 243 |
| 5.5327 | 5.5638 | 244 |
| 5.5334 | 5.5449 | 245 |
| 5.5330 | 5.5552 | 246 |
| 5.5338 | 5.5721 | 247 |
| 5.5359 | 5.5736 | 248 |
| 5.5361 | 5.5440 | 249 |
| 5.5377 | 5.5656 | 250 |
| 5.5353 | 5.5690 | 251 |
| 5.5375 | 5.5540 | 252 |
| 5.5357 | 5.5555 | 253 |
| 5.5349 | 5.5658 | 254 |
| 5.5365 | 5.5563 | 255 |
| 5.5327 | 5.5544 | 256 |
| 5.5346 | 5.5851 | 257 |
| 5.5372 | 5.5556 | 258 |
| 5.5373 | 5.5504 | 259 |
| 5.5361 | 5.5657 | 260 |
| 5.5348 | 5.5585 | 261 |
| 5.5349 | 5.5664 | 262 |
| 5.5343 | 5.5454 | 263 |
| 5.5351 | 5.5820 | 264 |
| 5.5334 | 5.5521 | 265 |
| 5.5361 | 5.5648 | 266 |
| 5.5375 | 5.5596 | 267 |
| 5.5363 | 5.5525 | 268 |
| 5.5377 | 5.5752 | 269 |
| 5.5359 | 5.5523 | 270 |
| 5.5347 | 5.5662 | 271 |
| 5.5363 | 5.5613 | 272 |
| 5.5370 | 5.5529 | 273 |
| 5.5360 | 5.5523 | 274 |
| 5.5363 | 5.5548 | 275 |
| 5.5342 | 5.5523 | 276 |
| 5.5318 | 5.5659 | 277 |
| 5.5376 | 5.5582 | 278 |
| 5.5327 | 5.5649 | 279 |
| 5.5339 | 5.5665 | 280 |
| 5.5373 | 5.5693 | 281 |
| 5.5324 | 5.5660 | 282 |
| 5.5352 | 5.5580 | 283 |
| 5.5362 | 5.5770 | 284 |
| 5.5383 | 5.5431 | 285 |
| 5.5337 | 5.5632 | 286 |
| 5.5376 | 5.5549 | 287 |
| 5.5336 | 5.5519 | 288 |
| 5.5334 | 5.5506 | 289 |
| 5.5349 | 5.5608 | 290 |
| 5.5356 | 5.5589 | 291 |
| 5.5360 | 5.5628 | 292 |
| 5.5360 | 5.5700 | 293 |
| 5.5372 | 5.5418 | 294 |
| 5.5354 | 5.5559 | 295 |
| 5.5349 | 5.5524 | 296 |
| 5.5370 | 5.5663 | 297 |
| 5.5354 | 5.5955 | 298 |
| 5.5340 | 5.5563 | 299 |
| 5.5389 | 5.5476 | 300 |
| 5.5359 | 5.5566 | 301 |
| 5.5363 | 5.5587 | 302 |
| 5.5350 | 5.5561 | 303 |
| 5.5336 | 5.5498 | 304 |
| 5.5357 | 5.5522 | 305 |
| 5.5382 | 5.5501 | 306 |
| 5.5351 | 5.5579 | 307 |
| 5.5311 | 5.5555 | 308 |
| 5.5369 | 5.5627 | 309 |
| 5.5333 | 5.5700 | 310 |
| 5.5341 | 5.5649 | 311 |
| 5.5359 | 5.5884 | 312 |
| 5.5367 | 5.5592 | 313 |
| 5.5356 | 5.5457 | 314 |
| 5.5363 | 5.5478 | 315 |
| 5.5368 | 5.5638 | 316 |
| 5.5346 | 5.5500 | 317 |
| 5.5341 | 5.5568 | 318 |
| 5.5343 | 5.5598 | 319 |
| 5.5350 | 5.5446 | 320 |
| 5.5366 | 5.5618 | 321 |
| 5.5373 | 5.5705 | 322 |
| 5.5387 | 5.5586 | 323 |
| 5.5339 | 5.5681 | 324 |
| 5.5342 | 5.5401 | 325 |
| 5.5360 | 5.5953 | 326 |
| 5.5367 | 5.5694 | 327 |
| 5.5369 | 5.5517 | 328 |
| 5.5352 | 5.5792 | 329 |
| 5.5346 | 5.5566 | 330 |
### Framework versions
- Transformers 4.40.2
- TensorFlow 2.15.0
- Datasets 2.19.1
- Tokenizers 0.19.1
|