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--- |
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license: apache-2.0 |
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base_model: Deci/DeciLM-7B |
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tags: |
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- generated_from_trainer |
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datasets: |
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- HuggingFaceH4/ultrachat_200k |
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- HuggingFaceH4/ultrafeedback_binarized |
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model-index: |
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- name: bbdeci7b-sft-lora-dpo-lora |
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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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# bbdeci7b-sft-lora-dpo-lora |
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This model is a SFT then DPO fine-tuned version of [Deci/DeciLM-7B](https://huggingface.co/Deci/DeciLM-7B) on the [HuggingFaceH4/ultrachat_200k](https://huggingface.co/datasets/HuggingFaceH4/ultrachat_200k) for SFT |
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and the [HuggingFaceH4/ultrafeedback_binarized](https://huggingface.co/datasets/HuggingFaceH4/ultrafeedback_binarized) |
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Evals and more details coming soon |
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SFT was conducted on 2X Nvidia A100 for 21 Hours, and DPO was codnucted on 8X Nvida A100 for 4 Hours |
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It achieves the following results on the evaluation set(SFT): |
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- Loss: 1.0110 |
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It achieves the following results on the evaluation set(DPO): |
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- Loss: 0.5908 |
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- Rewards/chosen: 0.0960 |
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- Rewards/rejected: -0.2480 |
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- Rewards/accuracies: 0.7222 |
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- Rewards/margins: 0.3440 |
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- Logps/rejected: -241.9212 |
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- Logps/chosen: -295.2642 |
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- Logits/rejected: -2.6769 |
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- Logits/chosen: -2.6941 |
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### Training hyperparameters |
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The following hyperparameters were used during SFT training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 2 |
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- gradient_accumulation_steps: 128 |
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- total_train_batch_size: 1024 |
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- total_eval_batch_size: 16 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: cosine |
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- num_epochs: 1 |
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The following hyperparameters were used during DPO training: |
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- learning_rate: 5e-07 |
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- train_batch_size: 2 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- gradient_accumulation_steps: 32 |
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- total_train_batch_size: 512 |
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- total_eval_batch_size: 32 |
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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_ratio: 0.1 |
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- num_epochs: 3 |
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### Training results |
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SFT: |
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| Training Loss | Epoch | Step | Validation Loss | |
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|:-------------:|:-----:|:----:|:---------------:| |
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| 1.0062 | 1.00 | 136 | 1.0110 | |
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DPO: |
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| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | |
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|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
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| 0.6401 | 1.0 | 121 | 0.6354 | 0.0634 | -0.0940 | 0.7302 | 0.1573 | -240.3806 | -295.5903 | -2.6840 | -2.7020 | |
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| 0.6014 | 2.0 | 242 | 0.5988 | 0.0861 | -0.2096 | 0.7460 | 0.2956 | -241.5365 | -295.3633 | -2.6795 | -2.6965 | |
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| 0.5911 | 3.0 | 363 | 0.5908 | 0.0960 | -0.2480 | 0.7222 | 0.3440 | -241.9212 | -295.2642 | -2.6769 | -2.6941 | |
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### Framework versions |
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- Transformers 4.35.2 |
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- Pytorch 2.1.0+cu118 |
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- Datasets 2.14.6 |
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- Tokenizers 0.14.1 |
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