metadata
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: zephyr-7b-dpo-full
results: []
zephyr-7b-dpo-full
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5090
- Rewards/chosen: -1.1007
- Rewards/rejected: -2.0002
- Rewards/accuracies: 0.7738
- Rewards/margins: 0.8995
- Logps/rejected: -466.1724
- Logps/chosen: -401.8018
- Logits/rejected: 3.6229
- Logits/chosen: 2.8669
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: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- 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 | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.6512 | 0.1047 | 100 | 0.6511 | -0.0190 | -0.1266 | 0.6964 | 0.1076 | -278.8090 | -293.6257 | -2.3851 | -2.4490 |
| 0.5992 | 0.2093 | 200 | 0.5944 | -0.2668 | -0.6535 | 0.7103 | 0.3866 | -331.5005 | -318.4129 | -1.7454 | -1.8605 |
| 0.5469 | 0.3140 | 300 | 0.5530 | -0.6557 | -1.3199 | 0.7520 | 0.6642 | -398.1460 | -357.2993 | -0.7401 | -0.9693 |
| 0.5491 | 0.4186 | 400 | 0.5448 | -1.0399 | -1.6860 | 0.7282 | 0.6462 | -434.7570 | -395.7156 | 1.3254 | 0.9052 |
| 0.5351 | 0.5233 | 500 | 0.5296 | -0.8199 | -1.6144 | 0.7679 | 0.7945 | -427.5919 | -373.7142 | 2.7946 | 2.2107 |
| 0.4879 | 0.6279 | 600 | 0.5152 | -1.1813 | -2.0574 | 0.7619 | 0.8761 | -471.8891 | -409.8589 | 3.3049 | 2.6265 |
| 0.4963 | 0.7326 | 700 | 0.5121 | -1.1447 | -2.0602 | 0.7679 | 0.9156 | -472.1772 | -406.1937 | 3.7355 | 2.9642 |
| 0.5009 | 0.8373 | 800 | 0.5099 | -1.1326 | -2.0244 | 0.7679 | 0.8919 | -468.5970 | -404.9855 | 3.6202 | 2.8807 |
| 0.4926 | 0.9419 | 900 | 0.5090 | -1.1007 | -2.0002 | 0.7738 | 0.8995 | -466.1724 | -401.8018 | 3.6229 | 2.8669 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.1.2
- Datasets 2.19.1
- Tokenizers 0.19.1