metadata
base_model: alignment-handbook/zephyr-7b-sft-full
datasets:
- generation/UF6k
library_name: peft
license: apache-2.0
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
model-index:
- name: zephyr-dpop-qlora-uf-oursuf6k-5e-7
results: []
zephyr-dpop-qlora-uf-oursuf6k-5e-7
This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on the generation/UF6k dataset. It achieves the following results on the evaluation set:
- Loss: 0.6903
- Positive Losses: 0.0369
- Dpo Losses: 0.6851
- Rewards/chosen: 0.0601
- Rewards/rejected: 0.0433
- Rewards/accuracies: 0.6090
- Rewards/margins: 0.0168
- Rewards/margins Max: 0.0933
- Rewards/margins Min: -0.0510
- Rewards/margins Std: 0.0482
- Logps/rejected: -254.2451
- Logps/chosen: -278.5801
- Logits/rejected: -2.7575
- Logits/chosen: -2.7964
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: 2
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- total_eval_batch_size: 16
- 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 | Positive Losses | Dpo Losses | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Rewards/margins Max | Rewards/margins Min | Rewards/margins Std | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.6918 | 0.15 | 100 | 0.6930 | 0.0047 | 0.6922 | 0.0135 | 0.0117 | 0.6000 | 0.0019 | 0.0130 | -0.0081 | 0.0070 | -257.4135 | -283.2392 | -2.7718 | -2.8105 |
| 0.6867 | 0.29 | 200 | 0.6917 | 0.0124 | 0.6900 | 0.0299 | 0.0235 | 0.6100 | 0.0063 | 0.0373 | -0.0214 | 0.0194 | -256.2250 | -281.6053 | -2.7690 | -2.8075 |
| 0.6825 | 0.44 | 300 | 0.6909 | 0.0225 | 0.6879 | 0.0441 | 0.0333 | 0.625 | 0.0108 | 0.0619 | -0.0341 | 0.0319 | -255.2539 | -280.1855 | -2.7634 | -2.8021 |
| 0.6808 | 0.58 | 400 | 0.6905 | 0.0314 | 0.6861 | 0.0543 | 0.0397 | 0.6170 | 0.0147 | 0.0808 | -0.0436 | 0.0415 | -254.6122 | -279.1606 | -2.7608 | -2.7994 |
| 0.6769 | 0.73 | 500 | 0.6902 | 0.0330 | 0.6855 | 0.0585 | 0.0426 | 0.6120 | 0.0160 | 0.0885 | -0.0487 | 0.0458 | -254.3216 | -278.7400 | -2.7587 | -2.7975 |
| 0.67 | 0.88 | 600 | 0.6903 | 0.0373 | 0.6851 | 0.0599 | 0.0432 | 0.6160 | 0.0167 | 0.0930 | -0.0511 | 0.0481 | -254.2623 | -278.6050 | -2.7602 | -2.7988 |
Framework versions
- PEFT 0.7.1
- Transformers 4.39.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2