metadata
license: apache-2.0
base_model: alignment-handbook/zephyr-7b-sft-full
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: zephyr-7b-dpo-full-gpt_consistent-reward-scale-1-rpo-gamma-05
results: []
zephyr-7b-dpo-full-gpt_consistent-reward-scale-1-rpo-gamma-05
This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0087
- Rewards/chosen: -0.0012
- Rewards/rejected: -0.1544
- Rewards/accuracies: 0.7672
- Rewards/margins: 0.1532
- Logps/rejected: -261.9635
- Logps/chosen: -285.2108
- Logits/rejected: -2.3836
- Logits/chosen: -2.4800
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: 55
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- total_eval_batch_size: 64
- 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.012 | 0.1147 | 50 | 0.0113 | 0.0778 | -0.0076 | 0.7026 | 0.0854 | -247.2809 | -277.3098 | -2.5021 | -2.5787 |
| 0.011 | 0.2294 | 100 | 0.0100 | 0.0419 | -0.0781 | 0.7069 | 0.1200 | -254.3327 | -280.9024 | -2.3370 | -2.4392 |
| 0.0104 | 0.3440 | 150 | 0.0098 | -0.0076 | -0.1403 | 0.7198 | 0.1326 | -260.5493 | -285.8531 | -2.3956 | -2.4944 |
| 0.0096 | 0.4587 | 200 | 0.0093 | 0.0289 | -0.1110 | 0.7931 | 0.1399 | -257.6194 | -282.1954 | -2.4209 | -2.5140 |
| 0.0094 | 0.5734 | 250 | 0.0089 | -0.0113 | -0.1675 | 0.7802 | 0.1562 | -263.2694 | -286.2172 | -2.3630 | -2.4591 |
| 0.0096 | 0.6881 | 300 | 0.0088 | -0.0133 | -0.1638 | 0.7845 | 0.1505 | -262.9025 | -286.4156 | -2.3821 | -2.4772 |
| 0.0096 | 0.8028 | 350 | 0.0087 | -0.0056 | -0.1617 | 0.7802 | 0.1561 | -262.6906 | -285.6459 | -2.3851 | -2.4814 |
| 0.0093 | 0.9174 | 400 | 0.0087 | -0.0012 | -0.1544 | 0.7672 | 0.1532 | -261.9635 | -285.2108 | -2.3836 | -2.4800 |
Framework versions
- Transformers 4.44.0.dev0
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1