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zephyr-7b-gpo-v1-i0
DUAL-GPO/zephyr-7b-gpo-v1-i0
zephyr-7b-gpo-v1-i0 is a machine learning model from DUAL-GPO. 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
- Model type
- mistral
- Access
- Public
- Created
- May 4, 2024
- Updated
- May 5, 2024
- SHA
- 5e1b0d74
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-gpo-v1-i0
This model is a fine-tuned version of DUAL-GPO/zephyr-7b-gpo-update3-i0 on the HuggingFaceH4/ultrafeedback_binarized dataset. It achieves the following results on the evaluation set:
- Logits/chosen: -1.9105
- Logits/rejected: -1.7279
- Logps/chosen: -271.5140
- Logps/rejected: -255.4308
- Loss: 0.0328
- Rewards/accuracies: 0.6240
- Rewards/chosen: -0.0807
- Rewards/margins: 0.0903
- Rewards/rejected: -0.1710
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
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 2
- total_train_batch_size: 8
- total_eval_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 0.5
Training results
| Training Loss | Epoch | Step | Logits/chosen | Logits/rejected | Logps/chosen | Logps/rejected | Validation Loss | Rewards/accuracies | Rewards/chosen | Rewards/margins | Rewards/rejected |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.0266 | 0.01 | 100 | -1.9105 | -1.7279 | -271.5140 | -255.4308 | 0.0328 | 0.6240 | -0.0807 | 0.0903 | -0.1710 |
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.15.2
- Library
- peft
- Type
- mistral
- License
- apache-2.0
- Created
- May 4, 2024
- Updated
- May 5, 2024