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zephyr-7b-dpo-lora
Abe13/zephyr-7b-dpo-lora
zephyr-7b-dpo-lora 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 7, 2023
Repo size
109 MB
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.safetensors109 MB · 98%
At a glance
- License
- apache-2.0
- Access
- Public
- Created
- Dec 4, 2023
- Updated
- Dec 7, 2023
- SHA
- 5c72d488
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
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: 0.5874
- Rewards/chosen: 0.0339
- Rewards/rejected: -0.3006
- Rewards/accuracies: 0.6920
- Rewards/margins: 0.3345
- Logps/rejected: -220.4644
- Logps/chosen: -263.6834
- Logits/rejected: -2.2601
- Logits/chosen: -2.3604
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
- num_devices: 4
- gradient_accumulation_steps: 32
- total_train_batch_size: 256
- total_eval_batch_size: 16
- 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.6259 | 1.0 | 242 | 0.6261 | 0.0706 | -0.0990 | 0.6700 | 0.1696 | -218.4478 | -263.3158 | -2.2669 | -2.3669 |
| 0.5991 | 2.0 | 484 | 0.5946 | 0.0494 | -0.2508 | 0.6780 | 0.3002 | -219.9661 | -263.5286 | -2.2620 | -2.3623 |
| 0.5852 | 3.0 | 726 | 0.5874 | 0.0339 | -0.3006 | 0.6920 | 0.3345 | -220.4644 | -263.6834 | -2.2601 | -2.3604 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.1.1+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1
- License
- apache-2.0
- Created
- Dec 4, 2023
- Updated
- Dec 7, 2023