metadata
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: []
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:
- Loss: 0.4345
- Rewards/chosen: 0.0086
- Rewards/rejected: 0.0130
- Rewards/accuracies: 0.4809
- Rewards/margins: -0.0044
- Logps/rejected: -37.5004
- Logps/chosen: -34.0238
- Logits/rejected: -2.2387
- Logits/chosen: -2.2436
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-07
- 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.3805 | 0.26 | 100 | 0.4061 | 0.0139 | 0.0017 | 0.5395 | 0.0122 | -37.5145 | -34.0171 | -2.2393 | -2.2441 |
| 0.371 | 0.52 | 200 | 0.4323 | 0.0091 | 0.0118 | 0.5253 | -0.0027 | -37.5019 | -34.0231 | -2.2390 | -2.2439 |
| 0.3839 | 0.78 | 300 | 0.4345 | 0.0086 | 0.0130 | 0.4809 | -0.0044 | -37.5004 | -34.0238 | -2.2387 | -2.2436 |
Framework versions
- PEFT 0.8.2
- Transformers 4.37.2
- Pytorch 2.1.2+cu121
- Datasets 2.17.0
- Tokenizers 0.15.1