| | --- |
| | license: apache-2.0 |
| | library_name: peft |
| | tags: |
| | - llama-factory |
| | - lora |
| | - trl |
| | - dpo |
| | - generated_from_trainer |
| | base_model: tiiuae/falcon-7b-instruct |
| | model-index: |
| | - name: Falcon-7B-Instruct-ORPO-SALT-HALF |
| | 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. --> |
| |
|
| | # Falcon-7B-Instruct-ORPO-SALT-HALF |
| |
|
| | This model is a fine-tuned version of [tiiuae/falcon-7b-instruct](https://huggingface.co/tiiuae/falcon-7b-instruct) on the dpo_mix_en and the bct_non_cot_dpo_500 datasets. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 1.4967 |
| | - Rewards/chosen: -0.1424 |
| | - Rewards/rejected: -0.1512 |
| | - Rewards/accuracies: 0.5038 |
| | - Rewards/margins: 0.0088 |
| | - Logps/rejected: -1.5123 |
| | - Logps/chosen: -1.4238 |
| | - Logits/rejected: -14.4005 |
| | - Logits/chosen: -14.4333 |
| | - Sft Loss: 1.4238 |
| | - Odds Ratio Loss: 0.7294 |
| |
|
| | ## 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: 2 |
| | - eval_batch_size: 2 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 8 |
| | - total_train_batch_size: 16 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: cosine |
| | - lr_scheduler_warmup_steps: 0.1 |
| | - num_epochs: 3.0 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | Sft Loss | Odds Ratio Loss | |
| | |:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------:|:---------------:| |
| | | 1.5988 | 0.8467 | 500 | 1.5655 | -0.1492 | -0.1572 | 0.4962 | 0.0080 | -1.5724 | -1.4919 | -14.3530 | -14.3859 | 1.4919 | 0.7361 | |
| | | 1.4213 | 1.6935 | 1000 | 1.5097 | -0.1437 | -0.1524 | 0.5038 | 0.0087 | -1.5240 | -1.4366 | -14.3997 | -14.4324 | 1.4366 | 0.7303 | |
| | | 1.4234 | 2.5402 | 1500 | 1.4967 | -0.1424 | -0.1512 | 0.5038 | 0.0088 | -1.5123 | -1.4238 | -14.4005 | -14.4333 | 1.4238 | 0.7294 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - PEFT 0.10.0 |
| | - Transformers 4.40.1 |
| | - Pytorch 2.3.0 |
| | - Datasets 2.19.0 |
| | - Tokenizers 0.19.1 |
