nouamanetazi HF staff commited on
Commit
80f714a
1 Parent(s): 174eabb

add jobhero cls to training dataset

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Files changed (5) hide show
  1. .gitignore +2 -1
  2. README.md +6 -3
  3. pytorch_model.bin +1 -1
  4. tokenizer.json +0 -0
  5. training_args.bin +1 -1
.gitignore CHANGED
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  checkpoint-*/
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- runs/
 
 
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  checkpoint-*/
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+ runs/
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+ *.zip
README.md CHANGED
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  ---
 
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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:
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  - name: cover-letter-t5-base
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  results: []
 
 
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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
@@ -12,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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  # cover-letter-t5-base
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- This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on the None dataset.
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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: 0.0001
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  - train_batch_size: 4
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  - eval_batch_size: 4
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  ### Training results
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-
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-
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  ### Framework versions
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  - Transformers 4.12.5
 
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  ---
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+ language: en
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  license: apache-2.0
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  tags:
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  - generated_from_trainer
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+ - t5-base
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  model-index:
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  - name: cover-letter-t5-base
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  results: []
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+ widget:
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+ - text: "coverletter name: Nouamane Tazi job: Machine Learning Engineer at HuggingFace background: Master's student in AI at the University of Paris Saclay experiences: I participated in the Digital Tech Year program, developing three minimal valuable products for three companies in a 7-week constraint. I also spent 1 year as a machine learning engineer for Flashbrand where I mainly worked on their chatbot . And I recently completed the HuggingFace course, where I built an amazing huggingface space. I am a strong team player."
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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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  # cover-letter-t5-base
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+ This model is a fine-tuned version of [t5-base](https://huggingface.co/t5-base) on cover letter samples scraped from Indeed and JobHero.
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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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+
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  - learning_rate: 0.0001
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  - train_batch_size: 4
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  - eval_batch_size: 4
 
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  ### Training results
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  ### Framework versions
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  - Transformers 4.12.5
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