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eglkan1
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mBART-07-TextSimp-LT-BatchSize8-lr1e-4

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PyTorch
mbart
text2text-generation
Generated from Trainer
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  2. generation_config.json +12 -0
README.md ADDED
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+ ---
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+ license: mit
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+ base_model: facebook/mbart-large-50
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - rouge
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+ - sacrebleu
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+ model-index:
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+ - name: mBART-07-TextSimp-LT-BatchSize8-lr1e-4
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # mBART-07-TextSimp-LT-BatchSize8-lr1e-4
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+
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+ This model is a fine-tuned version of [facebook/mbart-large-50](https://huggingface.co/facebook/mbart-large-50) on the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0856
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+ - Rouge1: 0.7721
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+ - Rouge2: 0.6212
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+ - Rougel: 0.7638
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+ - Sacrebleu: 53.4548
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+ - Gen Len: 36.8624
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 0.0001
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+ - train_batch_size: 8
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 16
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 500
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+ - num_epochs: 8
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Sacrebleu | Gen Len |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:--------:|
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+ | 14.4684 | 0.06 | 10 | 13.1518 | 0.2872 | 0.186 | 0.272 | 6.3114 | 512.0 |
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+ | 12.7706 | 0.12 | 20 | 11.9531 | 0.2443 | 0.1569 | 0.2281 | 8.8122 | 512.0 |
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+ | 11.7916 | 0.18 | 30 | 11.2548 | 0.2758 | 0.1818 | 0.2591 | 3.1927 | 512.0 |
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+ | 10.9334 | 0.24 | 40 | 10.5034 | 0.4334 | 0.2805 | 0.4034 | 7.3173 | 512.0 |
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+ | 10.2486 | 0.3 | 50 | 9.6013 | 0.2897 | 0.1829 | 0.2717 | 7.6318 | 512.0 |
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+ | 9.3552 | 0.36 | 60 | 8.6828 | 0.1181 | 0.0715 | 0.1106 | 3.5634 | 512.0 |
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+ | 8.511 | 0.42 | 70 | 7.7545 | 0.0752 | 0.0479 | 0.0716 | 2.2899 | 512.0 |
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+ | 7.6434 | 0.48 | 80 | 6.7397 | 0.2452 | 0.1558 | 0.2328 | 9.5121 | 505.5873 |
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+ | 6.5921 | 0.54 | 90 | 5.6501 | 0.5661 | 0.3905 | 0.5478 | 32.2949 | 62.8677 |
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+ | 5.4669 | 0.6 | 100 | 4.4328 | 0.6102 | 0.4252 | 0.5925 | 34.814 | 39.0847 |
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+ | 4.2038 | 0.66 | 110 | 3.1788 | 0.6166 | 0.4326 | 0.5996 | 35.9449 | 38.3915 |
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+ | 2.9406 | 0.72 | 120 | 1.8820 | 0.6071 | 0.4296 | 0.5934 | 36.3309 | 37.7884 |
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+ | 1.6293 | 0.78 | 130 | 0.8202 | 0.6135 | 0.4347 | 0.6006 | 36.6343 | 37.1164 |
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+ | 0.6931 | 0.84 | 140 | 0.3292 | 0.6273 | 0.4488 | 0.6152 | 37.7992 | 36.8677 |
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+ | 0.3063 | 0.9 | 150 | 0.2047 | 0.6322 | 0.461 | 0.6219 | 39.5968 | 36.8624 |
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+ | 0.2044 | 0.96 | 160 | 0.1721 | 0.6349 | 0.4521 | 0.6207 | 38.1827 | 36.8624 |
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+ | 0.1642 | 1.02 | 170 | 0.1527 | 0.6414 | 0.472 | 0.6312 | 40.84 | 36.8624 |
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+ | 0.1379 | 1.08 | 180 | 0.1307 | 0.6506 | 0.4813 | 0.6424 | 41.2202 | 36.8624 |
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+ | 0.1401 | 1.14 | 190 | 0.1184 | 0.6212 | 0.4465 | 0.6119 | 38.9759 | 36.8201 |
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+ | 0.1234 | 1.2 | 200 | 0.0963 | 0.6719 | 0.4862 | 0.6592 | 42.0111 | 36.8677 |
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+ | 0.1042 | 1.26 | 210 | 0.0820 | 0.6604 | 0.477 | 0.6506 | 41.6463 | 36.8836 |
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+ | 0.0933 | 1.32 | 220 | 0.0821 | 0.6645 | 0.49 | 0.6542 | 42.6241 | 36.8624 |
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+ | 0.095 | 1.38 | 230 | 0.0967 | 0.6581 | 0.4837 | 0.6492 | 42.1158 | 36.8624 |
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+ | 0.1022 | 1.44 | 240 | 0.1332 | 0.6133 | 0.4489 | 0.6034 | 40.4641 | 36.873 |
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+ | 0.7413 | 1.5 | 250 | 1.4191 | 0.0 | 0.0 | 0.0 | 0.0 | 40.0 |
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+ | 1.3629 | 1.56 | 260 | 1.0858 | 0.0 | 0.0 | 0.0 | 0.0 | 37.8624 |
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+ | 1.0025 | 1.62 | 270 | 0.8858 | 0.0196 | 0.0003 | 0.0196 | 0.0151 | 37.8624 |
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+ | 0.7626 | 1.68 | 280 | 0.7693 | 0.0 | 0.0 | 0.0 | 0.0213 | 37.8624 |
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+ | 0.7308 | 1.74 | 290 | 0.6842 | 0.0008 | 0.0 | 0.0008 | 0.0214 | 37.8624 |
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+ | 0.6324 | 1.8 | 300 | 0.5928 | 0.0074 | 0.0 | 0.0075 | 0.0257 | 36.836 |
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+ | 0.5934 | 1.86 | 310 | 0.5517 | 0.0 | 0.0 | 0.0 | 0.022 | 36.8783 |
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+ | 0.5535 | 1.92 | 320 | 0.5225 | 0.0319 | 0.0026 | 0.0312 | 0.0565 | 36.8624 |
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+ | 0.5843 | 1.98 | 330 | 0.5135 | 0.0438 | 0.0012 | 0.0435 | 0.0694 | 36.8624 |
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+ | 0.5422 | 2.04 | 340 | 0.5055 | 0.028 | 0.0 | 0.0281 | 0.0237 | 36.8519 |
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+ | 0.4415 | 2.1 | 350 | 0.2156 | 0.4248 | 0.2316 | 0.4101 | 14.9745 | 36.8624 |
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+ | 0.263 | 2.16 | 360 | 0.2392 | 0.3194 | 0.1424 | 0.3038 | 11.6071 | 36.8677 |
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+ | 0.2213 | 2.22 | 370 | 0.1329 | 0.554 | 0.3556 | 0.5421 | 27.6303 | 36.873 |
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+ | 0.121 | 2.28 | 380 | 0.1066 | 0.5935 | 0.4046 | 0.5802 | 35.6023 | 36.8624 |
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+ | 0.1027 | 2.34 | 390 | 0.0934 | 0.6287 | 0.4401 | 0.6155 | 39.0308 | 36.8624 |
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+ | 0.0858 | 2.4 | 400 | 0.0902 | 0.6394 | 0.4678 | 0.6278 | 40.2148 | 36.8624 |
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+ | 0.0937 | 2.46 | 410 | 0.0852 | 0.6721 | 0.4854 | 0.6577 | 41.3938 | 36.8624 |
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+ | 0.0765 | 2.51 | 420 | 0.0798 | 0.7085 | 0.53 | 0.6967 | 43.7951 | 36.8624 |
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+ | 0.0708 | 2.57 | 430 | 0.0770 | 0.703 | 0.5241 | 0.6921 | 42.5005 | 36.8624 |
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+ | 0.0717 | 2.63 | 440 | 0.0775 | 0.7108 | 0.5289 | 0.6997 | 43.3111 | 36.8624 |
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+ | 0.0742 | 2.69 | 450 | 0.0754 | 0.7182 | 0.5422 | 0.7088 | 44.229 | 36.8624 |
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+ | 0.0646 | 2.75 | 460 | 0.0789 | 0.7023 | 0.525 | 0.692 | 43.6914 | 36.8624 |
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+ | 0.0995 | 2.81 | 470 | 0.0839 | 0.6559 | 0.4866 | 0.6486 | 42.6205 | 36.8624 |
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+ | 0.0705 | 2.87 | 480 | 0.0751 | 0.7197 | 0.5478 | 0.7083 | 44.2463 | 36.8624 |
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+ | 0.076 | 2.93 | 490 | 0.0719 | 0.7296 | 0.5522 | 0.7181 | 44.3324 | 36.8624 |
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+ | 0.0669 | 2.99 | 500 | 0.0706 | 0.7263 | 0.5594 | 0.7172 | 45.7606 | 36.8624 |
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+ | 0.0519 | 3.05 | 510 | 0.0712 | 0.7328 | 0.5579 | 0.7233 | 47.2644 | 36.8624 |
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+ | 0.0478 | 3.11 | 520 | 0.0711 | 0.7298 | 0.5574 | 0.7189 | 46.5134 | 36.8624 |
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+ | 0.0487 | 3.17 | 530 | 0.0737 | 0.7258 | 0.558 | 0.7171 | 47.3831 | 36.8624 |
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+ | 0.0508 | 3.23 | 540 | 0.0719 | 0.7269 | 0.5577 | 0.7171 | 46.1187 | 36.8624 |
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+ | 0.0495 | 3.29 | 550 | 0.0719 | 0.7229 | 0.547 | 0.7113 | 46.7407 | 36.8624 |
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+ | 0.0437 | 3.35 | 560 | 0.0703 | 0.7346 | 0.5625 | 0.7238 | 47.6379 | 36.8624 |
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+ | 0.046 | 3.41 | 570 | 0.0688 | 0.7349 | 0.5632 | 0.7252 | 47.7757 | 36.8624 |
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+ | 0.0449 | 3.47 | 580 | 0.0688 | 0.7357 | 0.568 | 0.726 | 47.9775 | 36.8624 |
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+ | 0.0496 | 3.53 | 590 | 0.0690 | 0.7392 | 0.5694 | 0.7301 | 48.3888 | 36.8624 |
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+ | 0.051 | 3.59 | 600 | 0.0675 | 0.7434 | 0.5745 | 0.7349 | 48.565 | 36.8624 |
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+ | 0.0522 | 3.65 | 610 | 0.0677 | 0.7465 | 0.5811 | 0.735 | 49.6128 | 36.8624 |
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+ | 0.0529 | 3.71 | 620 | 0.0671 | 0.7463 | 0.5825 | 0.7374 | 49.4657 | 36.8624 |
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+ | 0.0497 | 3.77 | 630 | 0.0657 | 0.7448 | 0.5814 | 0.7348 | 48.9751 | 36.8624 |
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+ | 0.0432 | 3.83 | 640 | 0.0670 | 0.7351 | 0.5648 | 0.7253 | 48.0065 | 36.8624 |
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+ | 0.0468 | 3.89 | 650 | 0.0664 | 0.7451 | 0.5827 | 0.7365 | 49.2015 | 36.8624 |
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+ | 0.0453 | 3.95 | 660 | 0.0656 | 0.7391 | 0.5708 | 0.729 | 48.0288 | 36.8624 |
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+ | 0.0417 | 4.01 | 670 | 0.0662 | 0.7408 | 0.5711 | 0.7328 | 49.2061 | 36.8624 |
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+ | 0.02 | 4.07 | 680 | 0.0719 | 0.743 | 0.582 | 0.7343 | 49.2463 | 36.8624 |
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+ | 0.0302 | 4.13 | 690 | 0.0699 | 0.752 | 0.584 | 0.7423 | 48.8187 | 36.8624 |
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+ | 0.0278 | 4.19 | 700 | 0.0701 | 0.7452 | 0.5796 | 0.7374 | 50.1071 | 36.8624 |
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+ | 0.024 | 4.25 | 710 | 0.0698 | 0.7567 | 0.5966 | 0.7481 | 50.1833 | 36.8624 |
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+ | 0.024 | 4.31 | 720 | 0.0707 | 0.7547 | 0.5932 | 0.7453 | 50.0661 | 36.8624 |
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+ | 0.0302 | 4.37 | 730 | 0.0681 | 0.7572 | 0.5918 | 0.7489 | 50.3441 | 36.8624 |
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+ | 0.0253 | 4.43 | 740 | 0.0683 | 0.7593 | 0.5998 | 0.7504 | 50.9046 | 36.8624 |
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+ | 0.0246 | 4.49 | 750 | 0.0683 | 0.7567 | 0.5909 | 0.7467 | 49.9375 | 36.8624 |
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+ | 0.0253 | 4.55 | 760 | 0.0682 | 0.755 | 0.584 | 0.7458 | 49.9308 | 36.8624 |
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+ | 0.0245 | 4.61 | 770 | 0.0712 | 0.7492 | 0.5807 | 0.7403 | 50.1708 | 36.8624 |
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+ | 0.0274 | 4.67 | 780 | 0.0689 | 0.7516 | 0.5846 | 0.7431 | 49.6346 | 36.8624 |
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+ | 0.0261 | 4.73 | 790 | 0.0687 | 0.7477 | 0.5824 | 0.7403 | 50.6044 | 36.8624 |
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+ | 0.0304 | 4.79 | 800 | 0.0666 | 0.7534 | 0.5926 | 0.7443 | 49.9827 | 36.8624 |
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+ | 0.0279 | 4.85 | 810 | 0.0675 | 0.7559 | 0.5913 | 0.7452 | 49.9368 | 36.8624 |
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+ | 0.0277 | 4.91 | 820 | 0.0685 | 0.754 | 0.5895 | 0.7432 | 50.8755 | 36.8624 |
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+ | 0.0278 | 4.97 | 830 | 0.0676 | 0.753 | 0.592 | 0.744 | 50.6179 | 36.8624 |
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+ | 0.0215 | 5.03 | 840 | 0.0690 | 0.7626 | 0.6059 | 0.7535 | 51.7703 | 36.8624 |
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+ | 0.0154 | 5.09 | 850 | 0.0732 | 0.7626 | 0.6036 | 0.7543 | 51.3579 | 36.8624 |
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+ | 0.0141 | 5.15 | 860 | 0.0767 | 0.7582 | 0.5963 | 0.75 | 50.8613 | 36.8624 |
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+ | 0.0144 | 5.21 | 870 | 0.0754 | 0.7564 | 0.5948 | 0.7475 | 50.5094 | 36.8624 |
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+ | 0.0174 | 5.27 | 880 | 0.0736 | 0.7613 | 0.6032 | 0.7527 | 51.4235 | 36.8624 |
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+ | 0.0141 | 5.33 | 890 | 0.0746 | 0.7661 | 0.6085 | 0.7572 | 52.4218 | 36.8624 |
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+ | 0.0139 | 5.39 | 900 | 0.0753 | 0.7661 | 0.6079 | 0.7576 | 51.9856 | 36.8624 |
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+ | 0.0165 | 5.45 | 910 | 0.0746 | 0.7636 | 0.6063 | 0.7556 | 51.6622 | 36.8624 |
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+ | 0.0129 | 5.51 | 920 | 0.0732 | 0.7661 | 0.6106 | 0.7579 | 51.1851 | 36.8624 |
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+ | 0.0166 | 5.57 | 930 | 0.0721 | 0.7665 | 0.6108 | 0.7588 | 51.9259 | 36.8624 |
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+ | 0.0137 | 5.63 | 940 | 0.0702 | 0.7607 | 0.6007 | 0.7521 | 51.835 | 36.8624 |
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+ | 0.0153 | 5.69 | 950 | 0.0731 | 0.765 | 0.605 | 0.7563 | 52.1179 | 36.8624 |
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+ | 0.0165 | 5.75 | 960 | 0.0737 | 0.7641 | 0.6045 | 0.7559 | 52.2019 | 36.8624 |
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+ | 0.0117 | 5.81 | 970 | 0.0742 | 0.7648 | 0.6057 | 0.7559 | 51.9825 | 36.8624 |
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+ | 0.015 | 5.87 | 980 | 0.0735 | 0.7635 | 0.6061 | 0.7537 | 52.2846 | 36.8624 |
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+ | 0.0171 | 5.93 | 990 | 0.0719 | 0.764 | 0.6031 | 0.7546 | 51.4322 | 36.8624 |
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+ | 0.0143 | 5.99 | 1000 | 0.0733 | 0.7661 | 0.611 | 0.7572 | 51.9965 | 36.8624 |
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+ | 0.0079 | 6.05 | 1010 | 0.0773 | 0.7635 | 0.6114 | 0.7554 | 52.298 | 36.8624 |
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+ | 0.0077 | 6.11 | 1020 | 0.0801 | 0.7608 | 0.6046 | 0.7532 | 52.0944 | 36.8624 |
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+ | 0.0094 | 6.17 | 1030 | 0.0806 | 0.7593 | 0.6008 | 0.7508 | 52.0165 | 36.8624 |
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+ | 0.0078 | 6.23 | 1040 | 0.0798 | 0.7634 | 0.6064 | 0.7549 | 52.6951 | 36.8624 |
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+ | 0.0078 | 6.29 | 1050 | 0.0790 | 0.7604 | 0.6039 | 0.7514 | 51.9559 | 36.8624 |
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+ | 0.0088 | 6.35 | 1060 | 0.0783 | 0.7604 | 0.5987 | 0.7522 | 50.9347 | 36.8624 |
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+ | 0.0095 | 6.41 | 1070 | 0.0787 | 0.7686 | 0.6095 | 0.7599 | 52.0715 | 36.8624 |
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+ | 0.0093 | 6.47 | 1080 | 0.0794 | 0.7647 | 0.6098 | 0.757 | 52.3564 | 36.8624 |
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+ | 0.009 | 6.53 | 1090 | 0.0786 | 0.7591 | 0.6012 | 0.75 | 52.058 | 36.8624 |
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+ | 0.0099 | 6.59 | 1100 | 0.0770 | 0.7537 | 0.5954 | 0.7454 | 52.2023 | 36.8624 |
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+ | 0.0091 | 6.65 | 1110 | 0.0770 | 0.7583 | 0.6003 | 0.7507 | 52.3379 | 36.8624 |
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+ | 0.0085 | 6.71 | 1120 | 0.0777 | 0.7583 | 0.5992 | 0.7503 | 52.3369 | 36.8624 |
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+ | 0.0085 | 6.77 | 1130 | 0.0787 | 0.76 | 0.6014 | 0.7523 | 52.5729 | 36.8624 |
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+ | 0.0089 | 6.83 | 1140 | 0.0779 | 0.7629 | 0.6028 | 0.7553 | 52.0656 | 36.8624 |
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+ | 0.0096 | 6.89 | 1150 | 0.0777 | 0.7606 | 0.5998 | 0.7527 | 51.8477 | 36.8624 |
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+ | 0.0087 | 6.95 | 1160 | 0.0783 | 0.768 | 0.6076 | 0.7593 | 52.1456 | 36.8624 |
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+ | 0.0081 | 7.01 | 1170 | 0.0791 | 0.7705 | 0.6152 | 0.7624 | 52.803 | 36.8624 |
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+ | 0.0054 | 7.07 | 1180 | 0.0798 | 0.7667 | 0.6084 | 0.7584 | 52.7433 | 36.8624 |
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+ | 0.0045 | 7.13 | 1190 | 0.0815 | 0.7646 | 0.6055 | 0.7565 | 53.0281 | 36.8624 |
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+ | 0.0051 | 7.19 | 1200 | 0.0828 | 0.7609 | 0.5999 | 0.7526 | 52.6461 | 36.8624 |
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+ | 0.0055 | 7.25 | 1210 | 0.0841 | 0.7608 | 0.5994 | 0.7529 | 52.6382 | 36.8624 |
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+ | 0.0047 | 7.31 | 1220 | 0.0847 | 0.7637 | 0.6035 | 0.7554 | 52.5827 | 36.8624 |
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+ | 0.0049 | 7.37 | 1230 | 0.0851 | 0.7673 | 0.6088 | 0.7589 | 52.9688 | 36.8624 |
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+ | 0.0045 | 7.43 | 1240 | 0.0853 | 0.7661 | 0.6083 | 0.7575 | 52.9357 | 36.8624 |
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+ | 0.0045 | 7.49 | 1250 | 0.0856 | 0.7667 | 0.6107 | 0.7583 | 53.1254 | 36.8624 |
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+ | 0.0054 | 7.54 | 1260 | 0.0857 | 0.7691 | 0.615 | 0.7604 | 53.3457 | 36.8624 |
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+ | 0.0052 | 7.6 | 1270 | 0.0857 | 0.7703 | 0.6158 | 0.7617 | 53.3061 | 36.8624 |
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+ | 0.0055 | 7.66 | 1280 | 0.0858 | 0.7729 | 0.6205 | 0.7644 | 53.4336 | 36.8624 |
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+ | 0.0053 | 7.72 | 1290 | 0.0858 | 0.7718 | 0.6163 | 0.7636 | 53.3378 | 36.8624 |
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+ | 0.0052 | 7.78 | 1300 | 0.0859 | 0.7724 | 0.6206 | 0.7643 | 53.248 | 36.8624 |
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+ | 0.0043 | 7.84 | 1310 | 0.0858 | 0.7715 | 0.6194 | 0.7633 | 53.441 | 36.8624 |
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+ | 0.0048 | 7.9 | 1320 | 0.0857 | 0.7715 | 0.6194 | 0.7632 | 53.3966 | 36.8624 |
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+ | 0.0053 | 7.96 | 1330 | 0.0856 | 0.7721 | 0.6212 | 0.7638 | 53.4548 | 36.8624 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.33.0
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+ - Pytorch 2.1.2+cu121
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+ - Datasets 2.14.4
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+ - Tokenizers 0.13.3
generation_config.json ADDED
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+ {
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+ "_from_model_config": true,
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+ "bos_token_id": 0,
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+ "decoder_start_token_id": 2,
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+ "early_stopping": true,
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+ "eos_token_id": 2,
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+ "forced_eos_token_id": 2,
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+ "max_length": 200,
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+ "num_beams": 5,
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+ "pad_token_id": 1,
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+ "transformers_version": "4.33.0"
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+ }