metadata
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:
- HuggingFaceH4/ultrafeedback_binarized
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 the HuggingFaceH4/ultrafeedback_binarized dataset. It achieves the following results on the evaluation set:
- Loss: 0.4968
- Rewards/chosen: -1.2029
- Rewards/rejected: -2.2447
- Rewards/accuracies: 0.7617
- Rewards/margins: 1.0418
- Logps/rejected: -487.1403
- Logps/chosen: -382.8826
- Logits/rejected: 1.6118
- Logits/chosen: 0.6753
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 |
---|---|---|---|---|---|---|---|---|---|---|---|
0.5632 | 0.2092 | 100 | 0.5684 | -0.8769 | -1.4450 | 0.7305 | 0.5681 | -407.1669 | -350.2800 | -0.3489 | -0.6128 |
0.5374 | 0.4184 | 200 | 0.5202 | -0.7727 | -1.5477 | 0.7852 | 0.7750 | -417.4406 | -339.8678 | -0.1011 | -0.6617 |
0.4826 | 0.6276 | 300 | 0.5018 | -1.1013 | -2.0815 | 0.7734 | 0.9802 | -470.8159 | -372.7218 | 1.3131 | 0.4518 |
0.495 | 0.8368 | 400 | 0.4969 | -1.1626 | -2.1853 | 0.7773 | 1.0227 | -481.1959 | -378.8522 | 1.4928 | 0.5873 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.1.2+cu118
- Datasets 2.19.0
- Tokenizers 0.19.1