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gemma-dpo
redscroll/gemma-dpo
gemma-dpo is a machine learning model from redscroll. 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
- Mar 2, 2024
- Updated
- Mar 3, 2024
- SHA
- b1856bb6
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. -->
gemma-dpo
This model is a fine-tuned version of cognitivecomputations/dolphin-2.1-mistral-7b on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.6646
- Rewards/chosen: -9.3932
- Rewards/rejected: -13.4385
- Rewards/accuracies: 0.7852
- Rewards/margins: 4.0453
- Logps/rejected: -440.0019
- Logps/chosen: -450.6083
- Logits/rejected: -2.5347
- Logits/chosen: -2.6367
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-05
- train_batch_size: 12
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.7403 | 0.76 | 700 | 0.6646 | -9.3932 | -13.4385 | 0.7852 | 4.0453 | -440.0019 | -450.6083 | -2.5347 | -2.6367 |
Framework versions
- PEFT 0.9.0
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- peft
- License
- apache-2.0
- Created
- Mar 2, 2024
- Updated
- Mar 3, 2024