|
--- |
|
library_name: peft |
|
tags: |
|
- alignment-handbook |
|
- trl |
|
- dpo |
|
- generated_from_trainer |
|
base_model: norallm/normistral-7b-warm |
|
datasets: |
|
- hugodk-sch/aftonposten_title_prefs |
|
model-index: |
|
- name: ap-normistral-7b-align-scan |
|
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. --> |
|
|
|
# ap-normistral-7b-align-scan |
|
|
|
This model is a fine-tuned version of [data/ap-normistral-7b-sft-qlora](https://huggingface.co./data/ap-normistral-7b-sft-qlora) on the hugodk-sch/aftonposten_title_prefs dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 1.1077 |
|
- Rewards/chosen: -0.0230 |
|
- Rewards/rejected: -0.0718 |
|
- Rewards/accuracies: 0.4988 |
|
- Rewards/margins: 0.0488 |
|
- Logps/rejected: -36.0463 |
|
- Logps/chosen: -32.4687 |
|
- Logits/rejected: 98.7000 |
|
- Logits/chosen: 98.7211 |
|
|
|
## 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: 4 |
|
- eval_batch_size: 8 |
|
- seed: 42 |
|
- distributed_type: multi-GPU |
|
- gradient_accumulation_steps: 2 |
|
- total_train_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 | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
|
| 0.9852 | 0.26 | 100 | 1.1083 | -0.0231 | -0.0451 | 0.4875 | 0.0220 | -36.0166 | -32.4688 | 98.6830 | 98.6942 | |
|
| 0.902 | 0.52 | 200 | 0.9846 | -0.1464 | -0.3760 | 0.5548 | 0.2296 | -36.3844 | -32.6059 | 98.6271 | 98.6562 | |
|
| 0.671 | 0.78 | 300 | 1.1081 | -0.0561 | -0.0772 | 0.4776 | 0.0212 | -36.0524 | -32.5055 | 98.7108 | 98.7301 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.10.0 |
|
- Transformers 4.39.0.dev0 |
|
- Pytorch 2.1.2+cu121 |
|
- Datasets 2.14.6 |
|
- Tokenizers 0.15.1 |
