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  1. README.md +78 -0
  2. all_2490_bart-base/config.json +75 -0
  3. all_2490_bart-base/generation_config.json +12 -0
  4. all_2490_bart-base/merges.txt +0 -0
  5. all_2490_bart-base/model.safetensors +3 -0
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  8. all_2490_bart-base/tokenizer_config.json +57 -0
  9. all_2490_bart-base/training_args.bin +3 -0
  10. all_2490_bart-base/vocab.json +0 -0
  11. all_6417_bart-base/config.json +75 -0
  12. all_6417_bart-base/generation_config.json +12 -0
  13. all_6417_bart-base/merges.txt +0 -0
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  20. all_8657_bart-base/config.json +75 -0
  21. all_8657_bart-base/generation_config.json +12 -0
  22. all_8657_bart-base/merges.txt +0 -0
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  26. all_8657_bart-base/tokenizer_config.json +57 -0
  27. all_8657_bart-base/training_args.bin +3 -0
  28. all_8657_bart-base/vocab.json +0 -0
  29. all_9843_bart-base/config.json +75 -0
  30. all_9843_bart-base/generation_config.json +12 -0
  31. all_9843_bart-base/merges.txt +0 -0
  32. all_9843_bart-base/model.safetensors +3 -0
  33. all_9843_bart-base/special_tokens_map.json +15 -0
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  35. all_9843_bart-base/tokenizer_config.json +57 -0
  36. all_9843_bart-base/training_args.bin +3 -0
  37. all_9843_bart-base/vocab.json +0 -0
  38. billsum_7999_bart-base/config.json +75 -0
  39. billsum_7999_bart-base/generation_config.json +12 -0
  40. billsum_7999_bart-base/merges.txt +0 -0
  41. billsum_7999_bart-base/model.safetensors +3 -0
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  44. billsum_7999_bart-base/tokenizer_config.json +57 -0
  45. billsum_7999_bart-base/training_args.bin +3 -0
  46. billsum_7999_bart-base/vocab.json +0 -0
  47. cnn_dailymail_3864_bart-base/config.json +75 -0
  48. cnn_dailymail_3864_bart-base/generation_config.json +12 -0
  49. cnn_dailymail_3864_bart-base/merges.txt +0 -0
  50. cnn_dailymail_3864_bart-base/model.safetensors +3 -0
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: all_2490_bart-base
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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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+ # all_2490_bart-base
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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 the None dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 1.0206
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+ - Rouge1: 0.2426
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+ - Rouge2: 0.1208
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+ - Rougel: 0.2025
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+ - Rougelsum: 0.2266
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+ - Gen Len: 19.9945
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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: 32
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+ - eval_batch_size: 20
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+ - seed: 42
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+ - gradient_accumulation_steps: 16
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+ - total_train_batch_size: 512
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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: 10
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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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+ | 2.7151 | 0.8 | 500 | 1.1257 | 0.2361 | 0.1122 | 0.1955 | 0.2196 | 19.9978 |
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+ | 1.0837 | 1.61 | 1000 | 1.0810 | 0.2401 | 0.1176 | 0.1997 | 0.2237 | 19.9953 |
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+ | 1.0348 | 2.41 | 1500 | 1.0651 | 0.2401 | 0.1179 | 0.1999 | 0.2239 | 19.9957 |
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+ | 1.0059 | 3.21 | 2000 | 1.0522 | 0.2402 | 0.1183 | 0.2001 | 0.2242 | 19.996 |
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+ | 0.9855 | 4.02 | 2500 | 1.0439 | 0.2416 | 0.1197 | 0.2014 | 0.2257 | 19.9948 |
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+ | 0.9642 | 4.82 | 3000 | 1.0361 | 0.2421 | 0.12 | 0.2019 | 0.2263 | 19.9936 |
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+ | 0.9519 | 5.63 | 3500 | 1.0329 | 0.2415 | 0.1199 | 0.2016 | 0.2258 | 19.9948 |
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+ | 0.9389 | 6.43 | 4000 | 1.0278 | 0.2424 | 0.1204 | 0.2022 | 0.2265 | 19.9942 |
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+ | 0.9302 | 7.23 | 4500 | 1.0273 | 0.2422 | 0.1204 | 0.2022 | 0.2264 | 19.9943 |
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+ | 0.9225 | 8.04 | 5000 | 1.0219 | 0.2421 | 0.1208 | 0.2023 | 0.2263 | 19.9946 |
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+ | 0.9152 | 8.84 | 5500 | 1.0219 | 0.2429 | 0.1208 | 0.2027 | 0.227 | 19.9948 |
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+ | 0.911 | 9.64 | 6000 | 1.0206 | 0.2426 | 0.1208 | 0.2025 | 0.2266 | 19.9945 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.38.2
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+ - Pytorch 2.0.0+cu117
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+ - Datasets 2.18.0
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+ - Tokenizers 0.15.2
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