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-3
results: []
zephyr-7b-dpo-full-gpt_consistent-3
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: 0.4898
- Rewards/chosen: -0.9477
- Rewards/rejected: -1.9210
- Rewards/accuracies: 0.7543
- Rewards/margins: 0.9733
- Logps/rejected: -438.6234
- Logps/chosen: -379.8649
- Logits/rejected: 2.2425
- Logits/chosen: 0.9259
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 |
---|---|---|---|---|---|---|---|---|---|---|---|
0.5718 | 0.2294 | 100 | 0.5525 | -0.3811 | -0.9418 | 0.6940 | 0.5607 | -340.7015 | -323.2031 | -1.1398 | -1.3666 |
0.5281 | 0.4587 | 200 | 0.5102 | -0.6195 | -1.4237 | 0.7457 | 0.8042 | -388.8913 | -347.0378 | 1.0061 | -0.1205 |
0.5213 | 0.6881 | 300 | 0.4939 | -0.9485 | -1.8771 | 0.7543 | 0.9286 | -434.2354 | -379.9385 | 1.7281 | 0.3985 |
0.5037 | 0.9174 | 400 | 0.4898 | -0.9477 | -1.9210 | 0.7543 | 0.9733 | -438.6234 | -379.8649 | 2.2425 | 0.9259 |
Framework versions
- Transformers 4.44.0.dev0
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1