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- license: mit
 
 
 
 
 
 
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+ tags:
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+ - generated_from_trainer
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+ datasets:
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+ - final_dataset
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+ model-index:
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+ - name: diff_350m_full
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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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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # diff_350m_full
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+
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+ This model is a fine-tuned version of [codegen-350](https://huggingface.co/codegen-350) on the final_dataset dataset.
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 1e-05
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+ - train_batch_size: 8
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+ - eval_batch_size: 1
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+ - seed: 42
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+ - distributed_type: multi-GPU
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+ - num_devices: 16
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+ - gradient_accumulation_steps: 2
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+ - total_train_batch_size: 256
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+ - total_eval_batch_size: 16
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+ - optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - lr_scheduler_warmup_steps: 895
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+ - num_epochs: 1.0
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+
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+ ### Training results
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.22.0.dev0
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+ - Pytorch 1.13.0
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+ - Datasets 2.7.1
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+ - Tokenizers 0.12.1