sert121 commited on
Commit
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full_finetune_orpo_pythia2_hh_filtered

Browse files
README.md CHANGED
@@ -1,7 +1,7 @@
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  ---
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- base_model: EleutherAI/pythia-2.8b
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- library_name: peft
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  license: apache-2.0
 
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  tags:
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  - trl
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  - orpo
@@ -14,7 +14,6 @@ model-index:
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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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- [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/sert121/huggingface/runs/yy4vdz6d)
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  # orpo_pythia2_hh_filtered
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  This model is a fine-tuned version of [EleutherAI/pythia-2.8b](https://huggingface.co/EleutherAI/pythia-2.8b) on the None dataset.
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  The following hyperparameters were used during training:
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  - learning_rate: 8e-06
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- - train_batch_size: 3
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- - eval_batch_size: 8
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  - seed: 42
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  - gradient_accumulation_steps: 4
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- - total_train_batch_size: 12
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 150
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  ### Framework versions
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- - PEFT 0.10.0
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- - Transformers 4.42.0
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- - Pytorch 2.4.0+cu121
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- - Datasets 2.15.0
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- - Tokenizers 0.19.1
 
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  ---
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+ library_name: transformers
 
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  license: apache-2.0
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+ base_model: EleutherAI/pythia-2.8b
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  tags:
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  - trl
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  - orpo
 
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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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  # orpo_pythia2_hh_filtered
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  This model is a fine-tuned version of [EleutherAI/pythia-2.8b](https://huggingface.co/EleutherAI/pythia-2.8b) on the None dataset.
 
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  The following hyperparameters were used during training:
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  - learning_rate: 8e-06
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+ - train_batch_size: 12
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+ - eval_batch_size: 32
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  - seed: 42
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  - gradient_accumulation_steps: 4
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+ - total_train_batch_size: 48
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  - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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  - lr_scheduler_type: linear
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  - lr_scheduler_warmup_steps: 150
 
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  ### Framework versions
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+ - Transformers 4.45.0
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+ - Pytorch 2.5.0+cu124
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+ - Datasets 2.19.2
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+ - Tokenizers 0.20.0
 
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