metadata
license: apache-2.0
library_name: peft
tags:
- alignment-handbook
- generated_from_trainer
- trl
- dpo
base_model: alignment-handbook/zephyr-7b-sft-full
datasets:
- updated
- original
model-index:
- name: zephyr-7b-lora-64-no-quant-6k
results: []
zephyr-7b-lora-64-no-quant-6k
This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on the updated and the original datasets. It achieves the following results on the evaluation set:
- Loss: 0.5788
- Rewards/chosen: -0.3940
- Rewards/rejected: -0.7469
- Rewards/accuracies: 0.7200
- Rewards/margins: 0.3529
- Logps/rejected: -332.2092
- Logps/chosen: -323.4424
- Logits/rejected: -2.2597
- Logits/chosen: -2.3729
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-06
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 32
- total_train_batch_size: 256
- total_eval_batch_size: 8
- 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.5916 | 0.42 | 100 | 0.6025 | -0.2538 | -0.5140 | 0.6940 | 0.2602 | -308.9146 | -309.4196 | -2.5166 | -2.6027 |
| 0.5667 | 0.84 | 200 | 0.5788 | -0.3940 | -0.7469 | 0.7200 | 0.3529 | -332.2092 | -323.4424 | -2.2597 | -2.3729 |
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2