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
results: []
zephyr-7b-dpo-full
This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5065
- Rewards/chosen: -0.9786
- Rewards/rejected: -1.9310
- Rewards/accuracies: 0.7734
- Rewards/margins: 0.9524
- Logps/rejected: -455.7930
- Logps/chosen: -360.4568
- Logits/rejected: 0.2947
- Logits/chosen: -0.6442
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: 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 |
---|---|---|---|---|---|---|---|---|---|---|---|
0.5721 | 0.2092 | 100 | 0.5709 | -0.7941 | -1.3740 | 0.75 | 0.5798 | -400.0867 | -342.0089 | -1.1226 | -1.3180 |
0.5453 | 0.4184 | 200 | 0.5234 | -1.0595 | -1.8701 | 0.7773 | 0.8105 | -449.6958 | -368.5487 | 0.0691 | -0.6851 |
0.4933 | 0.6276 | 300 | 0.5102 | -1.0953 | -2.0092 | 0.7695 | 0.9139 | -463.6079 | -372.1221 | 0.3510 | -0.4567 |
0.4979 | 0.8368 | 400 | 0.5065 | -0.9786 | -1.9310 | 0.7734 | 0.9524 | -455.7930 | -360.4568 | 0.2947 | -0.6442 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.1.2+cu118
- Datasets 2.19.1
- Tokenizers 0.19.1