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--- |
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license: apache-2.0 |
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base_model: alignment-handbook/zephyr-7b-sft-full |
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tags: |
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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-7b-dpo-full-ultrabin-reward-scale-1-rpo |
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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-7b-dpo-full-ultrabin-reward-scale-1-rpo |
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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 an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0345 |
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- Rewards/chosen: -0.1240 |
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- Rewards/rejected: -0.4158 |
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- Rewards/accuracies: 0.7734 |
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- Rewards/margins: 0.2918 |
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- Logps/rejected: -304.2409 |
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- Logps/chosen: -275.0308 |
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- Logits/rejected: -2.4195 |
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- Logits/chosen: -2.5003 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 55 |
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- distributed_type: multi-GPU |
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- num_devices: 8 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 128 |
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- total_eval_batch_size: 64 |
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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 | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | |
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|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
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| 0.0497 | 0.1046 | 50 | 0.0471 | 0.0341 | -0.0639 | 0.6953 | 0.0980 | -269.0505 | -259.2180 | -2.5747 | -2.6118 | |
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| 0.0399 | 0.2092 | 100 | 0.0400 | -0.0674 | -0.3039 | 0.7656 | 0.2365 | -293.0492 | -269.3653 | -2.2263 | -2.2796 | |
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| 0.0384 | 0.3138 | 150 | 0.0368 | -0.1521 | -0.4051 | 0.7812 | 0.2530 | -303.1761 | -277.8396 | -2.4575 | -2.5017 | |
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| 0.0354 | 0.4184 | 200 | 0.0368 | -0.1608 | -0.4413 | 0.7812 | 0.2805 | -306.7949 | -278.7134 | -2.6355 | -2.6785 | |
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| 0.035 | 0.5230 | 250 | 0.0359 | -0.0276 | -0.3002 | 0.7812 | 0.2726 | -292.6817 | -265.3905 | -2.5364 | -2.5931 | |
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| 0.0336 | 0.6276 | 300 | 0.0351 | -0.1609 | -0.4489 | 0.7734 | 0.2880 | -307.5566 | -278.7195 | -2.3179 | -2.4060 | |
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| 0.0338 | 0.7322 | 350 | 0.0348 | -0.1145 | -0.3940 | 0.7695 | 0.2795 | -302.0604 | -274.0787 | -2.3603 | -2.4329 | |
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| 0.0352 | 0.8368 | 400 | 0.0345 | -0.1250 | -0.4112 | 0.7734 | 0.2863 | -303.7862 | -275.1277 | -2.4372 | -2.5111 | |
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| 0.0342 | 0.9414 | 450 | 0.0345 | -0.1240 | -0.4158 | 0.7734 | 0.2918 | -304.2409 | -275.0308 | -2.4195 | -2.5003 | |
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### Framework versions |
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- Transformers 4.44.0.dev0 |
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- Pytorch 2.1.2 |
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- Datasets 2.20.0 |
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- Tokenizers 0.19.1 |
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