jefercania commited on
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Model save

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README.md CHANGED
@@ -2,22 +2,12 @@
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  license: apache-2.0
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  base_model: distilroberta-base
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  tags:
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- - text-classification
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  - generated_from_trainer
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  datasets:
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  - glue
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  metrics:
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  - accuracy
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  - f1
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- widget:
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- - text: Yucaipa owned Dominick 's before selling the chain to Safeway in 1998 for
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- $ 2.5 billion.,Yucaipa bought Dominick's in 1995 for $ 693 million and sold it
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- to Safeway for $ 1.8 billion in 1998.
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- example_title: Not Equivalent
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- - text: Revenue in the first quarter of the year dropped 15 percent from the same
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- period a year earlier.,With the scandal hanging over Stewart's company revenue
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- the first quarter of the year dropped 15 percent from the same period a year earlier.
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- example_title: Equivalent
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  model-index:
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  - name: distilroberta-base-mrpc-glue
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  results:
@@ -25,7 +15,7 @@ model-index:
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  name: Text Classification
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  type: text-classification
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  dataset:
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- name: datasetX
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  type: glue
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  config: mrpc
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  split: validation
@@ -33,10 +23,10 @@ model-index:
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  metrics:
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  - name: Accuracy
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  type: accuracy
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- value: 0.8480392156862745
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  - name: F1
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  type: f1
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- value: 0.8923611111111109
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -44,11 +34,11 @@ should probably proofread and complete it, then remove this comment. -->
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  # distilroberta-base-mrpc-glue
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- This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the datasetX dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.3912
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- - Accuracy: 0.8480
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- - F1: 0.8924
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  ## Model description
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@@ -79,8 +69,8 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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- | 0.5068 | 1.09 | 500 | 0.3912 | 0.8480 | 0.8924 |
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- | 0.3345 | 2.18 | 1000 | 0.7787 | 0.8382 | 0.8838 |
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  ### Framework versions
 
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  license: apache-2.0
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  base_model: distilroberta-base
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  tags:
 
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  - generated_from_trainer
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  datasets:
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  - glue
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  metrics:
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  - accuracy
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  - f1
 
 
 
 
 
 
 
 
 
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  model-index:
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  - name: distilroberta-base-mrpc-glue
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  results:
 
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  name: Text Classification
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  type: text-classification
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  dataset:
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+ name: glue
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  type: glue
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  config: mrpc
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  split: validation
 
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  metrics:
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  - name: Accuracy
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  type: accuracy
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+ value: 0.8406862745098039
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  - name: F1
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  type: f1
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+ value: 0.8861646234676007
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  # distilroberta-base-mrpc-glue
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+ This model is a fine-tuned version of [distilroberta-base](https://huggingface.co/distilroberta-base) on the glue dataset.
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  It achieves the following results on the evaluation set:
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+ - Loss: 0.6595
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+ - Accuracy: 0.8407
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+ - F1: 0.8862
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  ## Model description
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  | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
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  |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
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+ | 0.5377 | 1.09 | 500 | 0.4936 | 0.8382 | 0.8893 |
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+ | 0.3477 | 2.18 | 1000 | 0.6595 | 0.8407 | 0.8862 |
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  ### Framework versions
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