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learn3r
/
sfd_blueprint_bart_base

Transformers
PyTorch
bart
text2text-generation
Generated from Trainer
Model card Files
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Community
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learn3r commited on
Commit
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  1. README.md +12 -14
  2. pytorch_model.bin +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -3,8 +3,6 @@ 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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- datasets:
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- - learn3r/summ_screen_fd_bp
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  model-index:
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  - name: summ_screen_fd_blueprint_epoch_10
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  results: []
@@ -15,9 +13,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # summ_screen_fd_blueprint_epoch_10
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- This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the learn3r/summ_screen_fd_bp dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 1.9589
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  ## Model description
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@@ -50,16 +48,16 @@ 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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- | 3.519 | 0.97 | 14 | 2.3056 |
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- | 2.6644 | 1.95 | 28 | 2.1349 |
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- | 2.3418 | 2.99 | 43 | 2.0616 |
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- | 2.258 | 3.97 | 57 | 2.0360 |
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- | 2.169 | 4.94 | 71 | 1.9997 |
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- | 2.1336 | 5.98 | 86 | 1.9862 |
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- | 2.0952 | 6.96 | 100 | 1.9754 |
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- | 2.0666 | 8.0 | 115 | 1.9660 |
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- | 2.0563 | 8.97 | 129 | 1.9610 |
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- | 2.0426 | 9.74 | 140 | 1.9589 |
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  ### Framework versions
 
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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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  model-index:
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  - name: summ_screen_fd_blueprint_epoch_10
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  results: []
 
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  # summ_screen_fd_blueprint_epoch_10
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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: 2.0208
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 3.382 | 0.97 | 14 | 2.3120 |
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+ | 2.5354 | 1.95 | 28 | 2.1625 |
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+ | 2.2504 | 2.99 | 43 | 2.1031 |
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+ | 2.1809 | 3.97 | 57 | 2.0733 |
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+ | 2.0889 | 4.94 | 71 | 2.0513 |
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+ | 2.0586 | 5.98 | 86 | 2.0359 |
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+ | 2.0117 | 6.96 | 100 | 2.0325 |
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+ | 1.9849 | 8.0 | 115 | 2.0254 |
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+ | 1.9803 | 8.97 | 129 | 2.0218 |
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+ | 1.9584 | 9.74 | 140 | 2.0208 |
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  ### Framework versions
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