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TechSorceress
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BART-finetuned-BBC

Text2Text Generation
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bart
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  1. README.md +13 -13
  2. model.safetensors +1 -1
  3. runs/Dec13_20-40-19_f36157b49cf1/events.out.tfevents.1702500020.f36157b49cf1.709.0 +2 -2
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-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: 0.3888
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- - Rouge1: 0.2466
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- - Rouge2: 0.2019
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- - Rougel: 0.2349
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- - Rougelsum: 0.2349
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  ## Model description
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@@ -52,14 +52,14 @@ 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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- | 1.7582 | 1.0 | 157 | 0.4626 | 0.2305 | 0.1837 | 0.2172 | 0.2173 |
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- | 0.4534 | 2.0 | 314 | 0.4221 | 0.2347 | 0.1892 | 0.222 | 0.2225 |
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- | 0.3744 | 3.0 | 471 | 0.4073 | 0.2474 | 0.2041 | 0.2344 | 0.2347 |
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- | 0.3208 | 4.0 | 628 | 0.3928 | 0.2398 | 0.1947 | 0.2266 | 0.2267 |
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- | 0.2804 | 5.0 | 785 | 0.3767 | 0.2471 | 0.2052 | 0.2348 | 0.2352 |
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- | 0.2537 | 6.0 | 942 | 0.3832 | 0.2499 | 0.2055 | 0.2374 | 0.2375 |
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- | 0.2361 | 7.0 | 1099 | 0.3897 | 0.2466 | 0.2035 | 0.2354 | 0.2358 |
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- | 0.2166 | 8.0 | 1256 | 0.3888 | 0.2466 | 0.2019 | 0.2349 | 0.2349 |
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  ### Framework versions
 
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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: 0.3634
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+ - Rouge1: 0.2438
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+ - Rouge2: 0.201
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+ - Rougel: 0.232
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+ - Rougelsum: 0.2319
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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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+ | 1.7832 | 1.0 | 157 | 0.4721 | 0.229 | 0.18 | 0.2151 | 0.2149 |
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+ | 0.4617 | 2.0 | 314 | 0.4217 | 0.2426 | 0.1997 | 0.2312 | 0.2313 |
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+ | 0.3798 | 3.0 | 471 | 0.3847 | 0.2435 | 0.2004 | 0.2312 | 0.2314 |
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+ | 0.3252 | 4.0 | 628 | 0.3781 | 0.2499 | 0.2078 | 0.2385 | 0.2384 |
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+ | 0.2857 | 5.0 | 785 | 0.3631 | 0.2418 | 0.1994 | 0.2314 | 0.2313 |
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+ | 0.2616 | 6.0 | 942 | 0.3563 | 0.2448 | 0.201 | 0.2329 | 0.2331 |
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+ | 0.2348 | 7.0 | 1099 | 0.3623 | 0.243 | 0.1984 | 0.2313 | 0.2311 |
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+ | 0.2183 | 8.0 | 1256 | 0.3634 | 0.2438 | 0.201 | 0.232 | 0.2319 |
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  ### Framework versions
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