Edit model card

zephyr-7b-dpo-full-hh

This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on the Anthropic/hh-rlhf dataset. It achieves the following results on the evaluation set:

  • Loss: 0.5341
  • Rewards/chosen: -2.5112
  • Rewards/rejected: -3.3276
  • Rewards/accuracies: 0.7295
  • Rewards/margins: 0.8164
  • Logps/rejected: -485.8198
  • Logps/chosen: -398.0228
  • Logits/rejected: 2.4839
  • Logits/chosen: 1.8909

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
0.6755 0.0796 100 0.6758 -0.1176 -0.1618 0.5830 0.0442 -169.2391 -158.6626 -2.4575 -2.4733
0.5965 0.1592 200 0.5934 -1.0644 -1.4934 0.6772 0.4290 -302.3988 -253.3484 -0.2911 -0.5108
0.5621 0.2388 300 0.5712 -1.3390 -1.8901 0.6875 0.5511 -342.0688 -280.8055 0.3164 -0.1607
0.551 0.3183 400 0.5651 -1.2110 -1.8230 0.7192 0.6120 -335.3575 -268.0063 -0.2086 -0.6012
0.5696 0.3979 500 0.5572 -1.8231 -2.3956 0.7229 0.5725 -392.6161 -329.2127 0.5151 0.0872
0.5504 0.4775 600 0.5508 -1.9233 -2.7091 0.7201 0.7858 -423.9663 -339.2298 1.2370 0.4867
0.5387 0.5571 700 0.5417 -2.3329 -3.1152 0.7211 0.7823 -464.5798 -380.1928 1.9107 1.1807
0.5119 0.6367 800 0.5416 -2.6721 -3.5027 0.7276 0.8306 -503.3281 -414.1180 3.4443 2.7209
0.564 0.7163 900 0.5385 -2.6361 -3.3606 0.7183 0.7245 -489.1202 -410.5185 2.5529 1.9952
0.5201 0.7959 1000 0.5347 -2.5021 -3.2845 0.7229 0.7824 -481.5121 -397.1160 2.4306 1.8888
0.5341 0.8754 1100 0.5346 -2.4898 -3.2841 0.7295 0.7943 -481.4664 -395.8830 2.3851 1.8147
0.5394 0.9550 1200 0.5341 -2.5107 -3.3276 0.7295 0.8168 -485.8161 -397.9764 2.4847 1.8912

Framework versions

  • Transformers 4.41.2
  • Pytorch 2.1.2
  • Datasets 2.20.0
  • Tokenizers 0.19.1
Downloads last month
12
Safetensors
Model size
7.24B params
Tensor type
BF16
·
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for sfulay/zephyr-7b-dpo-full-hh

Finetuned
(278)
this model

Dataset used to train sfulay/zephyr-7b-dpo-full-hh