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zephyr-7b-dpo-lora-1
Abe13/zephyr-7b-dpo-lora-1
zephyr-7b-dpo-lora-1 is a machine learning model from Abe13. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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Public
Updated Dec 6, 2023
Repo size
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At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Dec 5, 2023
- Updated
- Dec 6, 2023
- SHA
- d7d72d26
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. -->
zephyr-7b-dpo-lora-1
This model is a fine-tuned version of mistralai/Mistral-7B-v0.1 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.6542
- Rewards/chosen: 0.0641
- Rewards/rejected: -0.0250
- Rewards/accuracies: 0.6765
- Rewards/margins: 0.0891
- Logps/rejected: -222.6298
- Logps/chosen: -264.3456
- Logits/rejected: -2.1600
- Logits/chosen: -2.2261
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-07
- train_batch_size: 2
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 32
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.6768 | 0.99 | 96 | 0.6764 | 0.0306 | -0.0056 | 0.6380 | 0.0363 | -222.4367 | -264.6802 | -2.1612 | -2.2277 |
| 0.6591 | 1.99 | 193 | 0.6596 | 0.0553 | -0.0203 | 0.6775 | 0.0756 | -222.5832 | -264.4333 | -2.1606 | -2.2268 |
| 0.6511 | 2.97 | 288 | 0.6542 | 0.0641 | -0.0250 | 0.6765 | 0.0891 | -222.6298 | -264.3456 | -2.1600 | -2.2261 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1
- License
- apache-2.0
- Created
- Dec 5, 2023
- Updated
- Dec 6, 2023