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: 0.9809
- Rewards/chosen: -0.0923
- Rewards/rejected: -0.1298
- Rewards/accuracies: 0.5158
- Rewards/margins: 0.0375
- Logps/rejected: -36.2911
- Logps/chosen: -32.6740
- Logits/rejected: 98.5972
- Logits/chosen: 98.6205
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.8779 | 0.26 | 100 | 0.9411 | 0.0053 | -0.0639 | 0.5461 | 0.0692 | -36.1263 | -32.4300 | 98.7518 | 98.7613 |
| 0.683 | 0.52 | 200 | 0.9410 | -0.1143 | -0.1935 | 0.5569 | 0.0793 | -36.4504 | -32.7289 | 98.5890 | 98.6121 |
| 0.7349 | 0.78 | 300 | 0.9809 | -0.0923 | -0.1298 | 0.5158 | 0.0375 | -36.2911 | -32.6740 | 98.5972 | 98.6205 |
Framework versions
- PEFT 0.10.0
- Transformers 4.39.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.1