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End of training

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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: facebook/bart-base
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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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+ model-index:
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+ - name: bart-base-qds1
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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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+ # bart-base-qds1
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+
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+ This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.2346
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+ - Rouge1: 57.4149
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+ - Rouge2: 41.3439
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+ - Rougel: 52.8013
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+ - Rougelsum: 55.0522
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+ - Gen Len: 18.0
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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: 5e-05
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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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+ - num_epochs: 12
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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 | Rougelsum | Gen Len |
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+ |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:|
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+ | 0.249 | 1.0 | 1162 | 0.1781 | 59.6678 | 45.1815 | 55.6055 | 57.63 | 18.0 |
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+ | 0.1626 | 2.0 | 2325 | 0.1744 | 59.0831 | 44.253 | 54.8112 | 57.0726 | 18.0 |
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+ | 0.131 | 3.0 | 3487 | 0.1800 | 58.9286 | 43.5413 | 54.5349 | 56.7525 | 18.0 |
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+ | 0.1071 | 4.0 | 4650 | 0.1855 | 59.7421 | 45.2636 | 55.6941 | 57.7737 | 18.0 |
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+ | 0.0884 | 5.0 | 5812 | 0.1950 | 59.0777 | 43.5656 | 54.7076 | 56.861 | 18.0 |
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+ | 0.0732 | 6.0 | 6975 | 0.2066 | 58.0715 | 42.4195 | 53.6034 | 55.7227 | 18.0 |
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+ | 0.0611 | 7.0 | 8137 | 0.2109 | 58.2439 | 42.2049 | 53.6602 | 55.6642 | 18.0 |
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+ | 0.0516 | 8.0 | 9300 | 0.2182 | 58.3266 | 42.403 | 53.8468 | 55.8914 | 18.0 |
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+ | 0.0439 | 9.0 | 10462 | 0.2236 | 57.9343 | 41.6112 | 53.1966 | 55.2496 | 18.0 |
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+ | 0.0382 | 10.0 | 11625 | 0.2272 | 57.5539 | 41.1889 | 52.9571 | 55.2649 | 18.0 |
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+ | 0.0337 | 11.0 | 12787 | 0.2320 | 57.8289 | 41.8217 | 53.1707 | 55.3936 | 18.0 |
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+ | 0.0304 | 11.99 | 13944 | 0.2346 | 57.4149 | 41.3439 | 52.8013 | 55.0522 | 18.0 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.36.1
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+ - Pytorch 2.1.2
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+ - Datasets 2.19.2
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+ - Tokenizers 0.15.2
config.json ADDED
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+ }
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.36.1",
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+ "use_cache": true,
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+ "vocab_size": 50265
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+ }
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