gemma_rdpo_eta0.005_no_decay
This model is a fine-tuned version of HuggingFaceH4/zephyr-7b-gemma-sft-v0.1 on the argilla/dpo-mix-7k dataset. It achieves the following results on the evaluation set:
- Loss: 0.5899
- Rewards/chosen: -0.7561
- Rewards/rejected: -2.1676
- Rewards/accuracies: 0.7234
- Rewards/margins: 1.4115
- Logps/rejected: -464.4193
- Logps/chosen: -408.9966
- Logits/rejected: 161.6372
- Logits/chosen: 163.3166
- Eta: 0.0050
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: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | Eta |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.5915 | 0.9479 | 50 | 0.5745 | -0.7212 | -1.8546 | 0.7021 | 1.1334 | -458.1599 | -408.3000 | 171.6370 | 174.0368 | 0.0050 |
| 0.2599 | 1.8957 | 100 | 0.5899 | -0.7561 | -2.1676 | 0.7234 | 1.4115 | -464.4193 | -408.9966 | 161.6372 | 163.3166 | 0.0050 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for ZHLiu627/zephyr-gemma-rpo
Base model
google/gemma-7b
Finetuned
HuggingFaceH4/zephyr-7b-gemma-sft-v0.1