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OrpoSailor-1.8B
iamnguyen/OrpoSailor-1.8B
OrpoSailor-1.8B is a machine learning model from iamnguyen. 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
- Apr 21, 2024
- Updated
- Apr 23, 2024
- SHA
- 0f50052a
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. -->
OrpoSailor-1.8B
This model is a fine-tuned version of sail/Sailor-1.8B on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 4.4472
- Rewards/chosen: -0.1546
- Rewards/rejected: -0.1440
- Rewards/accuracies: 0.0
- Rewards/margins: -0.0106
- Logps/rejected: -1.4399
- Logps/chosen: -1.5456
- Logits/rejected: 0.0181
- Logits/chosen: -1.6644
- Nll Loss: 4.3708
- Log Odds Ratio: -0.7637
- Log Odds Chosen: -0.1364
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: 8e-06
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 10
- 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 | Nll Loss | Log Odds Ratio | Log Odds Chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 4.5248 | 0.8 | 1 | 4.4472 | -0.1546 | -0.1440 | 0.0 | -0.0106 | -1.4399 | -1.5456 | 0.0181 | -1.6644 | 4.3708 | -0.7637 | -0.1364 |
Framework versions
- PEFT 0.10.0
- Transformers 4.40.0
- Pytorch 2.1.2
- Datasets 2.19.0
- Tokenizers 0.19.1
- Library
- peft
- License
- apache-2.0
- Created
- Apr 21, 2024
- Updated
- Apr 23, 2024