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End of training

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  1. README.md +19 -19
  2. model.safetensors +1 -1
README.md CHANGED
@@ -1,7 +1,7 @@
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  ---
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- base_model: facebook/bart-base
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  library_name: transformers
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  license: apache-2.0
 
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  tags:
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  - generated_from_trainer
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  model-index:
@@ -16,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  This model is a fine-tuned version of [facebook/bart-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: 0.1630
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  ## Model description
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@@ -35,34 +35,34 @@ More information needed
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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- - learning_rate: 0.0001
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  - train_batch_size: 32
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  - eval_batch_size: 32
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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- - lr_scheduler_warmup_steps: 317
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  - num_epochs: 15
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 2.1803 | 1.0 | 212 | 1.9622 |
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- | 1.5022 | 2.0 | 424 | 1.3894 |
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- | 0.9 | 3.0 | 636 | 0.9155 |
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- | 0.5436 | 4.0 | 848 | 0.6259 |
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- | 0.3291 | 5.0 | 1060 | 0.4608 |
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- | 0.2152 | 6.0 | 1272 | 0.3565 |
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- | 0.1512 | 7.0 | 1484 | 0.2608 |
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- | 0.1075 | 8.0 | 1696 | 0.2425 |
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- | 0.0805 | 9.0 | 1908 | 0.1872 |
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- | 0.0612 | 10.0 | 2120 | 0.1925 |
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- | 0.0472 | 11.0 | 2332 | 0.1881 |
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- | 0.0384 | 12.0 | 2544 | 0.1630 |
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- | 0.0294 | 13.0 | 2756 | 0.1869 |
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- | 0.0219 | 14.0 | 2968 | 0.1823 |
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- | 0.0207 | 15.0 | 3180 | 0.1783 |
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  ### Framework versions
 
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  ---
 
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  library_name: transformers
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  license: apache-2.0
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+ base_model: facebook/bart-base
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  tags:
6
  - generated_from_trainer
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  model-index:
 
16
 
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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: 0.0465
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  ## Model description
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  ### Training hyperparameters
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  The following hyperparameters were used during training:
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+ - learning_rate: 0.0002
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  - train_batch_size: 32
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  - eval_batch_size: 32
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  - seed: 42
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  - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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  - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 404
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  - num_epochs: 15
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 1.7681 | 1.0 | 270 | 1.2737 |
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+ | 1.1619 | 2.0 | 540 | 0.7112 |
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+ | 0.5612 | 3.0 | 810 | 0.4396 |
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+ | 0.3226 | 4.0 | 1080 | 0.2830 |
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+ | 0.1885 | 5.0 | 1350 | 0.1619 |
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+ | 0.1304 | 6.0 | 1620 | 0.1719 |
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+ | 0.0871 | 7.0 | 1890 | 0.1755 |
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+ | 0.0656 | 8.0 | 2160 | 0.1026 |
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+ | 0.0467 | 9.0 | 2430 | 0.0465 |
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+ | 0.0292 | 10.0 | 2700 | 0.0660 |
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+ | 0.0212 | 11.0 | 2970 | 0.0654 |
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+ | 0.0143 | 12.0 | 3240 | 0.0728 |
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+ | 0.0094 | 13.0 | 3510 | 0.0648 |
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+ | 0.0068 | 14.0 | 3780 | 0.0589 |
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+ | 0.0064 | 15.0 | 4050 | 0.0570 |
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  ### Framework versions
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