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bart-large-cnn-finetuned-scope-summarization

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  1. README.md +27 -27
  2. generation_config.json +1 -1
  3. model.safetensors +1 -1
  4. runs/Mar02_15-57-52_n5qclzvvia/events.out.tfevents.1709395492.n5qclzvvia.213.0 +2 -2
  5. runs/Mar02_15-57-52_n5qclzvvia/events.out.tfevents.1709398863.n5qclzvvia.213.1 +3 -0
README.md CHANGED
@@ -17,11 +17,11 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.0490
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- - Rouge1: 74.1584
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- - Rouge2: 57.9788
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- - Rougel: 62.8448
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- - Rougelsum: 62.7765
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  ## Model description
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@@ -52,31 +52,31 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
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- | 1.0254 | 1.0 | 35 | 0.7095 | 48.1054 | 30.2028 | 38.8084 | 38.8683 |
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- | 0.6481 | 2.0 | 70 | 0.6066 | 50.8336 | 34.5183 | 41.7247 | 41.8707 |
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- | 0.5614 | 3.0 | 105 | 0.5329 | 57.7426 | 37.8419 | 42.9075 | 42.9433 |
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- | 0.5138 | 4.0 | 140 | 0.4973 | 57.8171 | 36.9019 | 44.6488 | 44.8647 |
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- | 0.451 | 5.0 | 175 | 0.4401 | 60.916 | 41.087 | 45.4116 | 45.4411 |
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- | 0.4162 | 6.0 | 210 | 0.3867 | 62.9769 | 43.4407 | 48.2851 | 48.3377 |
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- | 0.3633 | 7.0 | 245 | 0.3383 | 65.5103 | 47.2327 | 53.4334 | 53.5125 |
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- | 0.313 | 8.0 | 280 | 0.2834 | 64.057 | 46.1635 | 49.7044 | 49.8158 |
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- | 0.2669 | 9.0 | 315 | 0.1994 | 66.9064 | 49.5199 | 55.2645 | 55.3093 |
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- | 0.2073 | 10.0 | 350 | 0.1648 | 69.832 | 52.5513 | 58.7138 | 58.7687 |
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- | 0.1655 | 11.0 | 385 | 0.1744 | 67.1147 | 49.7127 | 54.8 | 54.8769 |
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- | 0.1285 | 12.0 | 420 | 0.1074 | 71.6738 | 54.8468 | 60.3888 | 60.5511 |
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- | 0.0954 | 13.0 | 455 | 0.0886 | 73.8985 | 58.3168 | 64.7526 | 64.7308 |
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- | 0.0757 | 14.0 | 490 | 0.0684 | 71.6519 | 54.7679 | 60.7249 | 60.8026 |
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- | 0.0547 | 15.0 | 525 | 0.0679 | 71.475 | 55.8093 | 60.7339 | 60.7417 |
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- | 0.0426 | 16.0 | 560 | 0.0677 | 73.0471 | 55.8567 | 60.1405 | 60.1719 |
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- | 0.033 | 17.0 | 595 | 0.0516 | 73.7561 | 57.0512 | 62.7989 | 62.7546 |
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- | 0.0262 | 18.0 | 630 | 0.0563 | 74.1168 | 58.3878 | 63.5671 | 63.5098 |
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- | 0.0214 | 19.0 | 665 | 0.0404 | 74.4461 | 58.7092 | 64.3292 | 64.2233 |
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- | 0.0157 | 20.0 | 700 | 0.0490 | 74.1584 | 57.9788 | 62.8448 | 62.7765 |
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  ### Framework versions
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- - Transformers 4.38.1
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  - Pytorch 2.2.1+cu121
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- - Datasets 2.17.1
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  - Tokenizers 0.15.2
 
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  This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.0578
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+ - Rouge1: 74.2613
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+ - Rouge2: 58.7063
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+ - Rougel: 63.9504
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+ - Rougelsum: 64.1404
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
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  |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
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+ | 0.8985 | 1.0 | 48 | 0.6541 | 46.8501 | 29.7327 | 36.488 | 36.5549 |
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+ | 0.6225 | 2.0 | 96 | 0.5766 | 53.306 | 34.1262 | 40.0055 | 39.8306 |
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+ | 0.5508 | 3.0 | 144 | 0.5222 | 55.9759 | 36.614 | 41.5281 | 41.4843 |
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+ | 0.4963 | 4.0 | 192 | 0.4711 | 57.6183 | 37.4078 | 42.6881 | 42.7515 |
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+ | 0.4517 | 5.0 | 240 | 0.4193 | 59.2425 | 39.9758 | 42.3079 | 42.2173 |
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+ | 0.4021 | 6.0 | 288 | 0.3792 | 59.5026 | 41.3313 | 46.1961 | 46.0462 |
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+ | 0.3672 | 7.0 | 336 | 0.3145 | 62.5542 | 44.3172 | 48.4545 | 48.421 |
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+ | 0.3153 | 8.0 | 384 | 0.2816 | 63.8301 | 46.3536 | 50.2103 | 50.1203 |
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+ | 0.268 | 9.0 | 432 | 0.2598 | 64.191 | 47.4322 | 51.7505 | 51.8051 |
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+ | 0.2159 | 10.0 | 480 | 0.2041 | 67.4345 | 49.7921 | 53.84 | 53.9574 |
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+ | 0.1714 | 11.0 | 528 | 0.1416 | 68.2944 | 51.3248 | 56.1006 | 56.0528 |
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+ | 0.1257 | 12.0 | 576 | 0.0961 | 69.7701 | 53.5417 | 58.2727 | 58.2473 |
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+ | 0.0991 | 13.0 | 624 | 0.0717 | 69.9164 | 53.6164 | 59.4382 | 59.518 |
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+ | 0.0699 | 14.0 | 672 | 0.0675 | 71.3498 | 55.64 | 60.2844 | 60.4973 |
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+ | 0.0526 | 15.0 | 720 | 0.0814 | 72.2287 | 56.8939 | 60.9719 | 61.2308 |
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+ | 0.0408 | 16.0 | 768 | 0.0843 | 71.7777 | 57.1413 | 62.0411 | 61.9723 |
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+ | 0.0315 | 17.0 | 816 | 0.0525 | 72.5746 | 57.5505 | 61.6754 | 61.8729 |
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+ | 0.0237 | 18.0 | 864 | 0.0542 | 72.0154 | 56.9233 | 61.3044 | 61.4721 |
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+ | 0.0187 | 19.0 | 912 | 0.0573 | 73.4681 | 58.9845 | 64.4143 | 64.5341 |
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+ | 0.0157 | 20.0 | 960 | 0.0578 | 74.2613 | 58.7063 | 63.9504 | 64.1404 |
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  ### Framework versions
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+ - Transformers 4.38.2
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  - Pytorch 2.2.1+cu121
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+ - Datasets 2.18.0
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  - Tokenizers 0.15.2
generation_config.json CHANGED
@@ -11,6 +11,6 @@
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  "no_repeat_ngram_size": 3,
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  "num_beams": 4,
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  "pad_token_id": 1,
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- "transformers_version": "4.38.1",
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  "use_cache": false
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  }
 
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  "no_repeat_ngram_size": 3,
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  "num_beams": 4,
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  "pad_token_id": 1,
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+ "transformers_version": "4.38.2",
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  "use_cache": false
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  }
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