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@@ -9,10 +9,6 @@ base_model: tiiuae/falcon-7b
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  model-index:
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  - name: falcon7b-linear-equations
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  results: []
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- datasets:
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- - Menouar/LinearEquations
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- language:
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- - en
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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
@@ -20,15 +16,11 @@ should probably proofread and complete it, then remove this comment. -->
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  # falcon7b-linear-equations
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- This model is a fine-tuned version of [tiiuae/falcon-7b](https://huggingface.co/tiiuae/falcon-7b) on [Linear Equations Dataset](https://huggingface.co/datasets/Menouar/LinearEquations).
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  ## Model description
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- The objective of this work is to fine-tune the [tiiuae/falcon-7b](https://huggingface.co/tiiuae/falcon-7b) on curated dataset of linear equations.
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- The aim is to enhance the model’s ability to solve mathematical linear equations in the form of:
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- ```
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- ay + b = dy + c.
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- ```
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  ## Intended uses & limitations
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@@ -44,23 +36,23 @@ More information needed
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0002
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- - train_batch_size: 40
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  - eval_batch_size: 8
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  - seed: 42
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  - gradient_accumulation_steps: 2
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- - total_train_batch_size: 80
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: constant
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  - lr_scheduler_warmup_ratio: 0.03
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- - training_steps: 1600
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  ### Training results
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- [Training Results on TensorBoard](https://huggingface.co/Menouar/falcon7b-linear-equations/tensorboard)
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  ### Framework versions
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- - PEFT 0.7.2.dev0
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  - Transformers 4.38.0.dev0
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  - Pytorch 2.1.0+cu121
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  - Datasets 2.16.1
 
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  model-index:
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  - name: falcon7b-linear-equations
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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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  # falcon7b-linear-equations
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+ This model is a fine-tuned version of [tiiuae/falcon-7b](https://huggingface.co/tiiuae/falcon-7b) on an unknown dataset.
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  ## Model description
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+ More information needed
 
 
 
 
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  ## Intended uses & limitations
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  The following hyperparameters were used during training:
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  - learning_rate: 0.0002
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+ - train_batch_size: 42
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  - eval_batch_size: 8
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  - seed: 42
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  - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 84
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: constant
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  - lr_scheduler_warmup_ratio: 0.03
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+ - training_steps: 600
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  ### Training results
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+
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  ### Framework versions
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+ - PEFT 0.8.1.dev0
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  - Transformers 4.38.0.dev0
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  - Pytorch 2.1.0+cu121
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  - Datasets 2.16.1