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dpo-selective-alpaca
wxzhang/dpo-selective-alpaca
dpo-selective-alpaca is a text generation model from wxzhang. Use it when you need the model to write or continue text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- transformers
- Model type
- llama
- Access
- Public
- Created
- Apr 22, 2024
- Updated
- Apr 23, 2024
- SHA
- 83248f0d
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Base models
Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
dpo-selective-alpaca
This model is a fine-tuned version of PKU-Alignment/alpaca-7b-reproduced on the PKU-Alignment/PKU-SafeRLHF dataset. It achieves the following results on the evaluation set:
- Loss: 4659.3857
- Rewards/chosen: -0.2274
- Rewards/rejected: -0.2645
- Rewards/accuracies: 0.6342
- Rewards/margins: 0.0372
- Rewards/safe Rewards: -0.2254
- Rewards/unsafe Rewards: -0.2253
- Logps/rejected: -174.8009
- Logps/chosen: -202.5513
- Logits/rejected: -1.7296
- Logits/chosen: -1.5835
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-07
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1
Training results
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
Framework versions
- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.14.6
- Tokenizers 0.15.0
- Task
- Text Generation
- Library
- transformers
- Type
- llama
- Created
- Apr 22, 2024
- Updated
- Apr 23, 2024