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Falcon-7B-Instruct-ORPO-SAA-HALF
chchen/Falcon-7B-Instruct-ORPO-SAA-HALF
Falcon-7B-Instruct-ORPO-SAA-HALF is a machine learning model from chchen. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Jul 27, 2024
- Updated
- Jul 27, 2024
- SHA
- 56772091
Base models
Model card
From the Hugging Face model README
<!-- 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 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
- Library
- peft
- License
- apache-2.0
- Created
- Jul 27, 2024
- Updated
- Jul 27, 2024