|
--- |
|
library_name: peft |
|
tags: |
|
- alignment-handbook |
|
- trl |
|
- dpo |
|
- generated_from_trainer |
|
base_model: NorLLM-AI/NorMistral-7B |
|
datasets: |
|
- hugodk-sch/aftonposten_title_prefs |
|
model-index: |
|
- name: norllm-ai-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. --> |
|
|
|
# norllm-ai-normistral-7b-align-scan |
|
|
|
This model is a fine-tuned version of [data/norllm-ai-normistral-7b-sft-qlora](https://huggingface.co/data/norllm-ai-normistral-7b-sft-qlora) on the hugodk-sch/aftonposten_title_prefs dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.6726 |
|
- Rewards/chosen: -0.0859 |
|
- Rewards/rejected: -0.1885 |
|
- Rewards/accuracies: 0.5627 |
|
- Rewards/margins: 0.1027 |
|
- Logps/rejected: -35.0124 |
|
- Logps/chosen: -31.4256 |
|
- Logits/rejected: -2.8174 |
|
- Logits/chosen: -2.8199 |
|
|
|
## 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 | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
|
| 0.6371 | 0.26 | 100 | 0.6738 | 0.0094 | -0.0765 | 0.6013 | 0.0860 | -34.8257 | -31.2667 | -2.8093 | -2.8120 | |
|
| 0.5701 | 0.52 | 200 | 0.6704 | -0.0753 | -0.1790 | 0.5777 | 0.1037 | -34.9964 | -31.4080 | -2.8197 | -2.8224 | |
|
| 0.5462 | 0.78 | 300 | 0.6756 | -0.0773 | -0.1729 | 0.5569 | 0.0956 | -34.9863 | -31.4113 | -2.8175 | -2.8199 | |
|
|
|
|
|
### Framework versions |
|
|
|
- PEFT 0.10.0 |
|
- Transformers 4.39.0.dev0 |
|
- Pytorch 2.1.2+cu121 |
|
- Datasets 2.14.6 |
|
- Tokenizers 0.15.1 |
