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End of training

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README.md CHANGED
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  base_model: facebook/bart-base
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  library_name: peft
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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:
@@ -16,16 +18,12 @@ 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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- - eval_loss: 4.0426
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- - eval_rouge1: 0.1379
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- - eval_rouge2: 0.0405
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- - eval_rougeL: 0.114
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- - eval_rougeLsum: 0.1255
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- - eval_gen_len: 20.0
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- - eval_runtime: 283.6448
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- - eval_samples_per_second: 3.526
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- - eval_steps_per_second: 3.526
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- - step: 0
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  ## Model description
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@@ -55,6 +53,18 @@ The following hyperparameters were used during training:
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  - num_epochs: 6
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  - mixed_precision_training: Native AMP
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  ### Framework versions
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  - PEFT 0.12.0
 
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  base_model: facebook/bart-base
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  library_name: peft
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  license: apache-2.0
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+ metrics:
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+ - rouge
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  tags:
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  - generated_from_trainer
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  model-index:
 
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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: 3.3948
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+ - Rouge1: 0.2474
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+ - Rouge2: 0.0918
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+ - Rougel: 0.1969
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+ - Rougelsum: 0.2198
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+ - Gen Len: 18.166
 
 
 
 
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  ## Model description
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  - num_epochs: 6
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  - mixed_precision_training: Native AMP
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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+ |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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+ | 2.7028 | 1.0 | 1250 | 3.3697 | 0.25 | 0.0901 | 0.1969 | 0.2216 | 18.807 |
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+ | 2.5838 | 2.0 | 2500 | 3.3865 | 0.2496 | 0.0904 | 0.196 | 0.2207 | 18.586 |
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+ | 2.5612 | 3.0 | 3750 | 3.3752 | 0.2511 | 0.0928 | 0.1984 | 0.2223 | 18.311 |
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+ | 2.5589 | 4.0 | 5000 | 3.3884 | 0.2508 | 0.0931 | 0.1991 | 0.2222 | 18.33 |
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+ | 2.5524 | 5.0 | 6250 | 3.3936 | 0.2477 | 0.0931 | 0.1967 | 0.2204 | 18.159 |
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+ | 2.5314 | 6.0 | 7500 | 3.3948 | 0.2474 | 0.0918 | 0.1969 | 0.2198 | 18.166 |
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+
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+
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  ### Framework versions
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  - PEFT 0.12.0
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