|
--- |
|
base_model: alignment-handbook/zephyr-7b-sft-full |
|
datasets: |
|
- generation/UF6konly |
|
library_name: peft |
|
license: apache-2.0 |
|
tags: |
|
- alignment-handbook |
|
- trl |
|
- dpo |
|
- generated_from_trainer |
|
model-index: |
|
- name: zephyr-dpop-qlora-uf6k-5e-7 |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# zephyr-dpop-qlora-uf6k-5e-7 |
|
|
|
This model is a fine-tuned version of [alignment-handbook/zephyr-7b-sft-full](https://huggingface.co/alignment-handbook/zephyr-7b-sft-full) on the generation/UF6konly dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.6916 |
|
- Positive Losses: 0.0091 |
|
- Dpo Losses: 0.6900 |
|
- Rewards/chosen: 0.0284 |
|
- Rewards/rejected: 0.0220 |
|
- Rewards/accuracies: 0.6570 |
|
- Rewards/margins: 0.0064 |
|
- Rewards/margins Max: 0.0305 |
|
- Rewards/margins Min: -0.0149 |
|
- Rewards/margins Std: 0.0150 |
|
- Logps/rejected: -256.3835 |
|
- Logps/chosen: -281.7567 |
|
- Logits/rejected: -2.7680 |
|
- Logits/chosen: -2.8065 |
|
|
|
## 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: 4 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- distributed_type: multi-GPU |
|
- num_devices: 2 |
|
- gradient_accumulation_steps: 2 |
|
- total_train_batch_size: 16 |
|
- total_eval_batch_size: 16 |
|
- 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 | Positive Losses | Dpo Losses | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Rewards/margins Max | Rewards/margins Min | Rewards/margins Std | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | |
|
|:-------------:|:-----:|:----:|:---------------:|:---------------:|:----------:|:--------------:|:----------------:|:------------------:|:---------------:|:-------------------:|:-------------------:|:-------------------:|:--------------:|:------------:|:---------------:|:-------------:| |
|
| 0.6925 | 0.3 | 100 | 0.6926 | 0.0030 | 0.6919 | 0.0172 | 0.0146 | 0.6330 | 0.0026 | 0.0140 | -0.0079 | 0.0073 | -257.1209 | -282.8758 | -2.7669 | -2.8058 | |
|
| 0.6928 | 0.61 | 200 | 0.6919 | 0.0086 | 0.6904 | 0.0259 | 0.0203 | 0.6470 | 0.0056 | 0.0265 | -0.0130 | 0.0131 | -256.5479 | -282.0022 | -2.7678 | -2.8064 | |
|
| 0.6916 | 0.91 | 300 | 0.6914 | 0.0070 | 0.6900 | 0.0283 | 0.0219 | 0.6630 | 0.0064 | 0.0305 | -0.0148 | 0.0149 | -256.3924 | -281.7664 | -2.7635 | -2.8024 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.7.1 |
|
- Transformers 4.39.0.dev0 |
|
- Pytorch 2.1.2+cu121 |
|
- Datasets 2.14.6 |
|
- Tokenizers 0.15.2 |
