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bart-cnn-samsum-peft

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  1. README.md +12 -12
  2. adapter_model.safetensors +1 -1
  3. runs/Jun06_03-51-48_cced2c94343d/events.out.tfevents.1717645915.cced2c94343d.622.0 +3 -0
  4. training_args.bin +1 -1
README.md CHANGED
@@ -18,7 +18,7 @@ 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 the samsum dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5166
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  ## Model description
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@@ -49,22 +49,22 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 0.9416 | 1.0 | 37 | 0.7712 |
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- | 0.6612 | 2.0 | 74 | 0.6450 |
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- | 0.5657 | 3.0 | 111 | 0.5918 |
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- | 0.5758 | 4.0 | 148 | 0.5598 |
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- | 0.499 | 5.0 | 185 | 0.5426 |
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- | 0.4521 | 6.0 | 222 | 0.5314 |
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- | 0.4618 | 7.0 | 259 | 0.5244 |
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- | 0.4838 | 8.0 | 296 | 0.5202 |
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- | 0.4983 | 9.0 | 333 | 0.5175 |
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- | 0.4688 | 10.0 | 370 | 0.5166 |
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  ### Framework versions
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  - PEFT 0.11.1
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- - Transformers 4.41.1
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  - Pytorch 2.3.0+cu121
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  - Datasets 2.19.2
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  - Tokenizers 0.19.1
 
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  This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on the samsum dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5691
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 3.1533 | 1.0 | 37 | 2.3528 |
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+ | 2.3091 | 2.0 | 74 | 1.6478 |
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+ | 1.4519 | 3.0 | 111 | 1.0883 |
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+ | 1.0666 | 4.0 | 148 | 0.7953 |
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+ | 0.7106 | 5.0 | 185 | 0.6731 |
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+ | 0.5671 | 6.0 | 222 | 0.6205 |
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+ | 0.5583 | 7.0 | 259 | 0.5940 |
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+ | 0.5599 | 8.0 | 296 | 0.5790 |
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+ | 0.5602 | 9.0 | 333 | 0.5715 |
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+ | 0.5338 | 10.0 | 370 | 0.5691 |
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  ### Framework versions
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  - PEFT 0.11.1
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+ - Transformers 4.41.2
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  - Pytorch 2.3.0+cu121
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  - Datasets 2.19.2
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  - Tokenizers 0.19.1
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