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80f714a
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Parent(s):
174eabb
add jobhero cls to training dataset
Browse files- .gitignore +2 -1
- README.md +6 -3
- pytorch_model.bin +1 -1
- tokenizer.json +0 -0
- training_args.bin +1 -1
.gitignore
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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
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README.md
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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
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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
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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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### 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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pytorch_model.bin
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tokenizer.json
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training_args.bin
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