File size: 2,609 Bytes
53f7f4a 8000fa3 53f7f4a 8000fa3 53f7f4a 8000fa3 53f7f4a 8000fa3 dab5d9c 8000fa3 53f7f4a dab5d9c 53f7f4a |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 |
---
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: 1.6647
- Rewards/chosen: 0.0868
- Rewards/rejected: 0.0880
- Rewards/accuracies: 0.5108
- Rewards/margins: -0.0012
- Logps/rejected: -35.8687
- Logps/chosen: -32.3467
- Logits/rejected: 99.0734
- Logits/chosen: 99.0806
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 2.0775 | 0.26 | 100 | 1.7337 | -0.0836 | -0.0209 | 0.4747 | -0.0626 | -35.9898 | -32.5360 | 98.9624 | 98.9691 |
| 3.1221 | 0.52 | 200 | 1.7165 | -0.0706 | -0.1245 | 0.5278 | 0.0539 | -36.1048 | -32.5217 | 99.1580 | 99.1691 |
| 2.4404 | 0.78 | 300 | 1.5174 | 0.1203 | 0.1230 | 0.5108 | -0.0027 | -35.8299 | -32.3095 | 99.0568 | 99.0617 |
### Framework versions
- PEFT 0.10.0
- Transformers 4.39.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.1 |