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alshelt
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ctrlsum-led-large-cnndm

Text2Text Generation
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Safetensors
led
Generated from Trainer
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  1. README.md +98 -0
  2. generation_config.json +8 -0
  3. logs/events.out.tfevents.1721233651.node0397.palmetto.clemson.edu.3180423.0 +2 -2
  4. model.safetensors +1 -1
README.md ADDED
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+ ---
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+ tags:
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+ - generated_from_trainer
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+ model-index:
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+ - name: led-large
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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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+ # led-large
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+
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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: 0.1850
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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: 3e-05
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+ - train_batch_size: 1
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+ - eval_batch_size: 1
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+ - seed: 42
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+ - gradient_accumulation_steps: 64
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+ - total_train_batch_size: 64
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: polynomial
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+ - lr_scheduler_warmup_steps: 500
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+ - training_steps: 20000
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss |
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+ |:-------------:|:-----:|:-----:|:---------------:|
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+ | 0.1479 | 0.11 | 500 | 0.1901 |
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+ | 0.1442 | 0.22 | 1000 | 0.1917 |
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+ | 0.1466 | 0.33 | 1500 | 0.1959 |
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+ | 0.1447 | 0.45 | 2000 | 0.1918 |
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+ | 0.1633 | 0.56 | 2500 | 0.1874 |
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+ | 0.171 | 0.67 | 3000 | 0.1849 |
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+ | 0.1662 | 0.78 | 3500 | 0.1843 |
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+ | 0.1743 | 0.89 | 4000 | 0.1837 |
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+ | 0.1492 | 1.0 | 4500 | 0.1842 |
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+ | 0.1515 | 1.11 | 5000 | 0.1849 |
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+ | 0.1497 | 1.23 | 5500 | 0.1840 |
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+ | 0.1515 | 1.34 | 6000 | 0.1839 |
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+ | 0.1482 | 1.45 | 6500 | 0.1841 |
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+ | 0.145 | 1.56 | 7000 | 0.1849 |
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+ | 0.1467 | 1.67 | 7500 | 0.1824 |
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+ | 0.1509 | 1.78 | 8000 | 0.1809 |
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+ | 0.15 | 1.89 | 8500 | 0.1832 |
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+ | 0.1383 | 2.01 | 9000 | 0.1831 |
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+ | 0.1331 | 2.12 | 9500 | 0.1820 |
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+ | 0.1406 | 2.23 | 10000 | 0.1830 |
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+ | 0.1362 | 2.34 | 10500 | 0.1844 |
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+ | 0.1373 | 2.45 | 11000 | 0.1836 |
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+ | 0.1269 | 2.56 | 11500 | 0.1842 |
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+ | 0.1362 | 2.67 | 12000 | 0.1819 |
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+ | 0.14 | 2.79 | 12500 | 0.1832 |
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+ | 0.1319 | 2.9 | 13000 | 0.1837 |
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+ | 0.1304 | 3.01 | 13500 | 0.1845 |
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+ | 0.1278 | 3.12 | 14000 | 0.1844 |
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+ | 0.1235 | 3.23 | 14500 | 0.1832 |
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+ | 0.1293 | 3.34 | 15000 | 0.1855 |
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+ | 0.1302 | 3.45 | 15500 | 0.1836 |
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+ | 0.1285 | 3.57 | 16000 | 0.1860 |
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+ | 0.1274 | 3.68 | 16500 | 0.1860 |
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+ | 0.1261 | 3.79 | 17000 | 0.1854 |
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+ | 0.1304 | 3.9 | 17500 | 0.1859 |
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+ | 0.1223 | 4.01 | 18000 | 0.1862 |
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+ | 0.1235 | 4.12 | 18500 | 0.1849 |
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+ | 0.1286 | 4.23 | 19000 | 0.1858 |
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+ | 0.1186 | 4.35 | 19500 | 0.1856 |
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+ | 0.1293 | 4.46 | 20000 | 0.1850 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.37.2
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+ - Pytorch 2.2.2+cu121
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.1
generation_config.json ADDED
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+ "eos_token_id": 2,
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+ "pad_token_id": 1,
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+ "transformers_version": "4.37.2"
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+ }
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