metadata
license: apache-2.0
base_model: Open-Orca/Mistral-7B-OpenOrca
tags:
- generated_from_trainer
model-index:
- name: olivia-7b-dpo-lora-v2
results: []
olivia-7b-dpo-lora-v2
This model is a fine-tuned version of Open-Orca/Mistral-7B-OpenOrca on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1299
- Rewards/chosen: -2.1998
- Rewards/rejected: -6.8894
- Rewards/accuracies: 0.9521
- Rewards/margins: 4.6897
- Logps/rejected: -133.8546
- Logps/chosen: -85.1177
- Logits/rejected: -2.5567
- Logits/chosen: -2.5727
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: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 32
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.1534 | 1.0 | 109 | 0.1544 | -1.6908 | -5.4640 | 0.9395 | 3.7732 | -119.6004 | -80.0284 | -2.5938 | -2.6084 |
| 0.0995 | 1.99 | 218 | 0.1299 | -2.1998 | -6.8894 | 0.9521 | 4.6897 | -133.8546 | -85.1177 | -2.5567 | -2.5727 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.1+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1