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End of training

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  1. README.md +6 -7
  2. model.safetensors +1 -1
  3. training_args.bin +1 -1
README.md CHANGED
@@ -13,12 +13,9 @@ should probably proofread and complete it, then remove this comment. -->
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  # bart-cnn-samsum-finetuned
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- This experiment is in a state of failure; still working out what I missed.
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-
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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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-
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  It achieves the following results on the evaluation set:
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- - Loss: 0.1706
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  ## Model description
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@@ -43,13 +40,15 @@ The following hyperparameters were used during training:
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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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- | 0.1079 | 1.0 | 37 | 0.1706 |
 
 
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  ### Framework versions
 
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  # bart-cnn-samsum-finetuned
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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: 0.1330
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  ## Model description
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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: 3
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss |
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  |:-------------:|:-----:|:----:|:---------------:|
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+ | 0.0981 | 1.0 | 37 | 0.1360 |
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+ | 0.1009 | 2.0 | 74 | 0.1330 |
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+ | 0.0957 | 3.0 | 111 | 0.1330 |
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  ### Framework versions
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