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--- |
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base_model: alignment-handbook/zephyr-7b-sft-full |
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datasets: |
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- generation/GPT4 |
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library_name: peft |
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license: apache-2.0 |
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tags: |
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- alignment-handbook |
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- trl |
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- dpo |
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- generated_from_trainer |
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model-index: |
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- name: zephyr-dpop-qlora-gpt4-5e-7 |
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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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# zephyr-dpop-qlora-gpt4-5e-7 |
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This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the generation/GPT4 dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.7751 |
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- Positive Losses: 0.8596 |
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- Dpo Losses: 0.6847 |
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- Rewards/chosen: 0.0247 |
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- Rewards/rejected: 0.0066 |
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- Rewards/accuracies: 0.5900 |
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- Rewards/margins: 0.0182 |
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- Rewards/margins Max: 0.1239 |
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- Rewards/margins Min: -0.0706 |
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- Rewards/margins Std: 0.0644 |
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- Logps/rejected: -257.9209 |
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- Logps/chosen: -282.1187 |
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- Logits/rejected: -2.7289 |
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- Logits/chosen: -2.7668 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 5e-07 |
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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: 2 |
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- total_train_batch_size: 16 |
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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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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 1 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Positive Losses | Dpo Losses | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Rewards/margins Max | Rewards/margins Min | Rewards/margins Std | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | |
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|:-------------:|:-----:|:----:|:---------------:|:---------------:|:----------:|:--------------:|:----------------:|:------------------:|:---------------:|:-------------------:|:-------------------:|:-------------------:|:--------------:|:------------:|:---------------:|:-------------:| |
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| 0.6709 | 0.28 | 100 | 0.7044 | 0.1334 | 0.6900 | 0.0150 | 0.0085 | 0.5830 | 0.0065 | 0.0434 | -0.0241 | 0.0224 | -257.7293 | -283.0980 | -2.7607 | -2.7991 | |
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| 0.6375 | 0.56 | 200 | 0.7539 | 0.6398 | 0.6862 | 0.0226 | 0.0079 | 0.5880 | 0.0147 | 0.1022 | -0.0596 | 0.0535 | -257.7878 | -282.3363 | -2.7335 | -2.7718 | |
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| 0.6203 | 0.85 | 300 | 0.7727 | 0.8307 | 0.6847 | 0.0252 | 0.0072 | 0.5920 | 0.0180 | 0.1227 | -0.0701 | 0.0638 | -257.8545 | -282.0691 | -2.7315 | -2.7691 | |
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### Framework versions |
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- PEFT 0.7.1 |
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- Transformers 4.39.0.dev0 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.14.6 |
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- Tokenizers 0.15.2 |
