metadata
license: apache-2.0
library_name: peft
tags:
- trl
- dpo
- generated_from_trainer
base_model: norallm/normistral-7b-warm
model-index:
- name: ap-normistral-7b-align-scan
results: []
ap-normistral-7b-align-scan
This model is a fine-tuned version of norallm/normistral-7b-warm on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.0329
- Rewards/chosen: -0.0989
- Rewards/rejected: -0.1202
- Rewards/accuracies: 0.5457
- Rewards/margins: 0.0213
- Logps/rejected: -36.1669
- Logps/chosen: -32.6081
- Logits/rejected: 98.7340
- Logits/chosen: 98.7641
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.8073 | 0.26 | 100 | 1.0338 | 0.0248 | 0.0277 | 0.4967 | -0.0029 | -35.9204 | -32.4018 | 98.7406 | 98.7512 |
| 0.7227 | 0.52 | 200 | 1.0227 | -0.1121 | -0.1359 | 0.4950 | 0.0238 | -36.1930 | -32.6300 | 98.7528 | 98.7726 |
| 0.6355 | 0.78 | 300 | 1.0329 | -0.0989 | -0.1202 | 0.5457 | 0.0213 | -36.1669 | -32.6081 | 98.7340 | 98.7641 |
Framework versions
- PEFT 0.10.0
- Transformers 4.39.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.1