metadata
library_name: peft
tags:
- trl
- dpo
- alignment-handbook
- generated_from_trainer
base_model: NbAiLab/nb-gpt-j-6B-v2
model-index:
- name: aftonposten-6b-align-scan
results: []
aftonposten-6b-align-scan
This model is a fine-tuned version of NbAiLab/nb-gpt-j-6B-v2 on an unknown dataset. It achieves the following results on the evaluation set:
- Logits/chosen: -2.2439
- Logits/rejected: -2.2390
- Logps/chosen: -34.0176
- Logps/rejected: -37.5142
- Loss: 0.3276
- Rewards/accuracies: 0.5365
- Rewards/chosen: 0.0152
- Rewards/margins: 0.0131
- Rewards/rejected: 0.0022
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 | Logits/chosen | Logits/rejected | Logps/chosen | Logps/rejected | Validation Loss | Rewards/accuracies | Rewards/chosen | Rewards/margins | Rewards/rejected |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.333 | 0.26 | 100 | -2.2438 | -2.2389 | -34.0205 | -37.5035 | 0.3405 | 0.5104 | 0.0126 | 0.0008 | 0.0118 |
| 0.3306 | 0.52 | 200 | -2.2435 | -2.2386 | -34.0285 | -37.5113 | 0.3466 | 0.5021 | 0.0054 | 0.0007 | 0.0048 |
| 0.3327 | 0.78 | 300 | -2.2439 | -2.2390 | -34.0176 | -37.5142 | 0.3276 | 0.5365 | 0.0152 | 0.0131 | 0.0022 |
Framework versions
- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.1.2+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1