metadata

library_name: transformers
license: apache-2.0
base_model: alignment-handbook/zephyr-7b-sft-full
tags:
  - alignment-handbook
  - trl
  - dpo
  - generated_from_trainer
  - trl
  - dpo
  - generated_from_trainer
datasets:
  - data/uf_rlced_conifer
model-index:
  - name: zephyr-7b-uf-rlced-conifer-dpo-2e
    results: []

zephyr-7b-uf-rlced-conifer-dpo-2e

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

Loss: 0.2466
Rewards/chosen: -4.8588
Rewards/rejected: -13.2530
Rewards/accuracies: 0.8966
Rewards/margins: 8.3941
Logps/rejected: -1735.4203
Logps/chosen: -870.4680
Logits/rejected: 4.3075
Logits/chosen: 1.8380

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: 4
total_train_batch_size: 256
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: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Rewards/chosen	Rewards/rejected	Rewards/accuracies	Rewards/margins	Logps/rejected	Logps/chosen	Logits/rejected	Logits/chosen
0.1587	1.3879	1000	0.2471	-3.9472	-12.0338	0.8910	8.0866	-1613.5016	-779.3055	4.5606	2.4398

Framework versions

Transformers 4.44.1
Pytorch 2.1.2+cu121
Datasets 2.21.0
Tokenizers 0.19.1