|
--- |
|
license: apache-2.0 |
|
base_model: Open-Orca/Mistral-7B-OpenOrca |
|
tags: |
|
- generated_from_trainer |
|
model-index: |
|
- name: olivia-7b-dpo-lora-v2 |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# olivia-7b-dpo-lora-v2 |
|
|
|
This model is a fine-tuned version of [Open-Orca/Mistral-7B-OpenOrca](https://huggingface.co/Open-Orca/Mistral-7B-OpenOrca) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.2452 |
|
- Rewards/chosen: -0.7312 |
|
- Rewards/rejected: -2.7785 |
|
- Rewards/accuracies: 0.9132 |
|
- Rewards/margins: 2.0473 |
|
- Logps/rejected: -92.7458 |
|
- Logps/chosen: -70.4321 |
|
- Logits/rejected: -2.6590 |
|
- Logits/chosen: -2.6728 |
|
|
|
## 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: 3e-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: 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 | |
|
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:| |
|
| 0.2434 | 1.0 | 109 | 0.2452 | -0.7312 | -2.7785 | 0.9132 | 2.0473 | -92.7458 | -70.4321 | -2.6590 | -2.6728 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.35.0 |
|
- Pytorch 2.1.1+cu121 |
|
- Datasets 2.14.6 |
|
- Tokenizers 0.14.1 |
|
|
