model_usp4_dpo1
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3096
- Rewards/chosen: -11.2358
- Rewards/rejected: -13.1040
- Rewards/accuracies: 0.5700
- Rewards/margins: 1.8682
- Logps/rejected: -241.2410
- Logps/chosen: -223.0633
- Logits/rejected: -1.1809
- Logits/chosen: -1.2295
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: 0.0005
- train_batch_size: 4
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.098 | 2.67 | 100 | 0.9024 | -5.2759 | -6.1963 | 0.6200 | 0.9203 | -172.1640 | -163.4645 | -1.3943 | -1.4049 |
| 0.014 | 5.33 | 200 | 1.0817 | -5.6325 | -6.8881 | 0.5900 | 1.2556 | -179.0825 | -167.0302 | -1.3979 | -1.4111 |
| 0.0002 | 8.0 | 300 | 1.2922 | -11.0538 | -12.8527 | 0.5700 | 1.7989 | -238.7282 | -221.2436 | -1.1960 | -1.2430 |
| 0.0001 | 10.67 | 400 | 1.2957 | -11.1287 | -12.9674 | 0.5700 | 1.8388 | -239.8755 | -221.9918 | -1.1895 | -1.2369 |
| 0.0001 | 13.33 | 500 | 1.3067 | -11.1696 | -13.0195 | 0.5700 | 1.8499 | -240.3959 | -222.4008 | -1.1866 | -1.2350 |
| 0.0001 | 16.0 | 600 | 1.3094 | -11.2106 | -13.0741 | 0.5700 | 1.8635 | -240.9421 | -222.8107 | -1.1833 | -1.2314 |
| 0.0001 | 18.67 | 700 | 1.3114 | -11.2339 | -13.0993 | 0.5700 | 1.8654 | -241.1942 | -223.0445 | -1.1811 | -1.2298 |
| 0.0001 | 21.33 | 800 | 1.3091 | -11.2358 | -13.1096 | 0.5700 | 1.8738 | -241.2972 | -223.0631 | -1.1808 | -1.2294 |
| 0.0001 | 24.0 | 900 | 1.3126 | -11.2442 | -13.1117 | 0.5700 | 1.8676 | -241.3186 | -223.1469 | -1.1810 | -1.2294 |
| 0.0001 | 26.67 | 1000 | 1.3096 | -11.2358 | -13.1040 | 0.5700 | 1.8682 | -241.2410 | -223.0633 | -1.1809 | -1.2295 |
Framework versions
- PEFT 0.10.0
- Transformers 4.39.3
- Pytorch 2.2.2+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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Base model
meta-llama/Llama-2-7b-chat-hf