| --- |
| 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 |
| 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 |
|
|
| 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_1000 datasets. |
| It achieves the following results on the evaluation set: |
| - Loss: 1.4485 |
| - Rewards/chosen: -0.1373 |
| - Rewards/rejected: -0.1429 |
| - Rewards/accuracies: 0.4809 |
| - Rewards/margins: 0.0056 |
| - Logps/rejected: -1.4290 |
| - Logps/chosen: -1.3726 |
| - Logits/rejected: -14.3178 |
| - Logits/chosen: -14.2778 |
| - Sft Loss: 1.3726 |
| - Odds Ratio Loss: 0.7590 |
|
|
| ## 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 | |
| |:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|:--------:|:---------------:| |
| | 1.5005 | 0.8082 | 500 | 1.5202 | -0.1444 | -0.1490 | 0.4818 | 0.0046 | -1.4898 | -1.4436 | -14.2657 | -14.2276 | 1.4436 | 0.7658 | |
| | 1.3401 | 1.6165 | 1000 | 1.4635 | -0.1387 | -0.1442 | 0.4836 | 0.0055 | -1.4423 | -1.3875 | -14.3083 | -14.2685 | 1.3875 | 0.7603 | |
| | 1.446 | 2.4247 | 1500 | 1.4485 | -0.1373 | -0.1429 | 0.4809 | 0.0056 | -1.4290 | -1.3726 | -14.3178 | -14.2778 | 1.3726 | 0.7590 | |
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|
| ### Framework versions |
|
|
| - PEFT 0.10.0 |
| - Transformers 4.40.1 |
| - Pytorch 2.3.0 |
| - Datasets 2.19.0 |
| - Tokenizers 0.19.1 |
