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--- |
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base_model: PKU-Alignment/alpaca-7b-reproduced |
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tags: |
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- alignment-handbook |
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- generated_from_trainer |
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- trl |
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- dpo |
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- generated_from_trainer |
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datasets: |
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- PKU-Alignment/PKU-SafeRLHF |
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model-index: |
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- name: dpo-selective-alpaca |
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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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# dpo-selective-alpaca |
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This model is a fine-tuned version of [PKU-Alignment/alpaca-7b-reproduced](https://huggingface.co/PKU-Alignment/alpaca-7b-reproduced) on the PKU-Alignment/PKU-SafeRLHF dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 4659.3857 |
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- Rewards/chosen: -0.2274 |
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- Rewards/rejected: -0.2645 |
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- Rewards/accuracies: 0.6342 |
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- Rewards/margins: 0.0372 |
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- Rewards/safe Rewards: -0.2254 |
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- Rewards/unsafe Rewards: -0.2253 |
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- Logps/rejected: -174.8009 |
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- Logps/chosen: -202.5513 |
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- Logits/rejected: -1.7296 |
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- Logits/chosen: -1.5835 |
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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: 4 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 64 |
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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: 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 | Rewards/safe Rewards | Rewards/unsafe Rewards | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | |
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|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------------:|:----------------------:|:--------------:|:------------:|:---------------:|:-------------:| |
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| 4842.2766 | 0.11 | 500 | 4952.8877 | 0.0166 | 0.0096 | 0.6573 | 0.0070 | 0.0166 | 0.0165 | -147.3908 | -178.1579 | -1.7834 | -1.6386 | |
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| 4764.3852 | 0.22 | 1000 | 4865.9209 | -0.0099 | -0.0282 | 0.6644 | 0.0184 | -0.0094 | -0.0098 | -151.1701 | -180.8021 | -1.7281 | -1.5780 | |
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| 4814.1586 | 0.32 | 1500 | 4783.4697 | -0.1011 | -0.1298 | 0.6566 | 0.0286 | -0.1003 | -0.1009 | -161.3237 | -189.9300 | -1.7085 | -1.5581 | |
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| 4693.2395 | 0.43 | 2000 | 4735.1978 | -0.1597 | -0.1926 | 0.6480 | 0.0329 | -0.1583 | -0.1588 | -167.6019 | -195.7835 | -1.7080 | -1.5598 | |
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| 4747.273 | 0.54 | 2500 | 4701.7651 | -0.1978 | -0.2321 | 0.6416 | 0.0344 | -0.1960 | -0.1962 | -171.5614 | -199.5948 | -1.7166 | -1.5693 | |
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| 4464.0027 | 0.65 | 3000 | 4681.6167 | -0.2061 | -0.2411 | 0.6356 | 0.0350 | -0.2041 | -0.2043 | -172.4578 | -200.4294 | -1.7240 | -1.5768 | |
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| 4613.8953 | 0.75 | 3500 | 4667.7300 | -0.2201 | -0.2561 | 0.6333 | 0.0360 | -0.2182 | -0.2182 | -173.9565 | -201.8304 | -1.7289 | -1.5822 | |
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| 4642.2859 | 0.86 | 4000 | 4661.8745 | -0.2258 | -0.2627 | 0.6336 | 0.0369 | -0.2238 | -0.2238 | -174.6188 | -202.3950 | -1.7298 | -1.5833 | |
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| 4747.2375 | 0.97 | 4500 | 4659.3687 | -0.2266 | -0.2638 | 0.6363 | 0.0372 | -0.2246 | -0.2245 | -174.7243 | -202.4745 | -1.7302 | -1.5838 | |
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### Framework versions |
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- Transformers 4.36.2 |
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- Pytorch 2.1.2 |
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- Datasets 2.14.6 |
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- Tokenizers 0.15.0 |
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