File size: 2,481 Bytes
3829c7f 1950075 3829c7f 1950075 3829c7f 4d259a0 3829c7f 328926c 1950075 3829c7f |
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 |
---
library_name: peft
tags:
- trl
- dpo
- generated_from_trainer
base_model: NbAiLab/nb-gpt-j-6B-v2
model-index:
- name: aftonposten-6b-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. -->
# aftonposten-6b-align-scan
This model is a fine-tuned version of [NbAiLab/nb-gpt-j-6B-v2](https://huggingface.co/NbAiLab/nb-gpt-j-6B-v2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4464
- Rewards/chosen: 0.0179
- Rewards/rejected: -0.0124
- Rewards/accuracies: 0.5428
- Rewards/margins: 0.0304
- Logps/rejected: -37.5321
- Logps/chosen: -34.0121
- Logits/rejected: -2.2303
- Logits/chosen: -2.2352
## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.3817 | 0.26 | 100 | 0.4287 | 0.0507 | 0.0294 | 0.5577 | 0.0213 | -37.4799 | -33.9712 | -2.2329 | -2.2378 |
| 0.3991 | 0.52 | 200 | 0.4536 | -0.0010 | -0.0197 | 0.5374 | 0.0187 | -37.5412 | -34.0358 | -2.2300 | -2.2349 |
| 0.2816 | 0.78 | 300 | 0.4464 | 0.0179 | -0.0124 | 0.5428 | 0.0304 | -37.5321 | -34.0121 | -2.2303 | -2.2352 |
### Framework versions
- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.1.2+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1 |