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sharmadhruv
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summarize_by_bart

Text2Text Generation
Transformers
Safetensors
bart
Generated from Trainer
Inference Endpoints
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sharmadhruv commited on
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End of training

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  1. README.md +2 -14
  2. model.safetensors +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-large
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  tags:
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  - generated_from_trainer
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- metrics:
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- - rouge
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  model-index:
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  - name: summarize_by_bart
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  results: []
@@ -16,13 +14,6 @@ should probably proofread and complete it, then remove this comment. -->
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  # summarize_by_bart
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  This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on an unknown dataset.
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- It achieves the following results on the evaluation set:
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- - Loss: 1.5359
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- - Rouge1: 0.1864
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- - Rouge2: 0.1075
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- - Rougel: 0.1648
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- - Rougelsum: 0.1691
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- - Gen Len: 20.0
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  ## Model description
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@@ -47,16 +38,13 @@ 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: 4
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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- | No log | 1.0 | 248 | 1.6562 | 0.1843 | 0.1021 | 0.1598 | 0.1647 | 20.0 |
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- | No log | 2.0 | 496 | 1.5784 | 0.1849 | 0.1043 | 0.1631 | 0.1676 | 20.0 |
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- | 1.8546 | 3.0 | 744 | 1.5589 | 0.1834 | 0.1069 | 0.1621 | 0.1662 | 20.0 |
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- | 1.8546 | 4.0 | 992 | 1.5359 | 0.1864 | 0.1075 | 0.1648 | 0.1691 | 20.0 |
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  ### Framework versions
 
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  base_model: facebook/bart-large
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  tags:
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  - generated_from_trainer
 
 
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  model-index:
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  - name: summarize_by_bart
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  results: []
 
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  # summarize_by_bart
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  This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co/facebook/bart-large) on an unknown dataset.
 
 
 
 
 
 
 
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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: 1
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  ### Training results
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  | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:|
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+ | No log | 1.0 | 248 | 1.5782 | 0.1863 | 0.106 | 0.1629 | 0.1678 | 20.0 |
 
 
 
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  ### Framework versions
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