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bart-cnn-dialogsum-finetuned

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End of training

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  1. README.md +13 -4
  2. model.safetensors +1 -1
  3. runs/May15_05-56-46_1c5f9f9b2d78/events.out.tfevents.1715752611.1c5f9f9b2d78.7257.5 +3 -0
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  7. training_args.bin +1 -1
README.md CHANGED
@@ -15,7 +15,7 @@ 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 an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.7018
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  ## Model description
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@@ -34,19 +34,28 @@ 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: 1e-05
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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- - num_epochs: 1
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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- | 0.7088 | 1.0 | 32 | 0.7018 |
 
 
 
 
 
 
 
 
 
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  ### Framework versions
 
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  This model is a fine-tuned version of [facebook/bart-large-cnn](https://huggingface.co/facebook/bart-large-cnn) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.5768
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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: 1e-06
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  - train_batch_size: 8
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  - eval_batch_size: 8
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  - seed: 42
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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+ - num_epochs: 10
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.5847 | 1.0 | 78 | 0.6536 |
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+ | 0.6067 | 2.0 | 156 | 0.6077 |
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+ | 0.6014 | 3.0 | 234 | 0.5916 |
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+ | 0.5525 | 4.0 | 312 | 0.5843 |
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+ | 0.5465 | 5.0 | 390 | 0.5808 |
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+ | 0.6124 | 6.0 | 468 | 0.5787 |
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+ | 0.588 | 7.0 | 546 | 0.5774 |
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+ | 0.5782 | 8.0 | 624 | 0.5776 |
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+ | 0.5187 | 9.0 | 702 | 0.5771 |
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+ | 0.4999 | 10.0 | 780 | 0.5768 |
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  ### Framework versions
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