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zephyr-7b-mypo3_sim-full-beta10.0-lr4e-7
Kimory-X/zephyr-7b-mypo3_sim-full-beta10.0-lr4e-7
zephyr-7b-mypo3_sim-full-beta10.0-lr4e-7 is a machine learning model from Kimory-X. 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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At a glance
- License
- apache-2.0
- Model type
- mistral
- Access
- Public
- Created
- May 13, 2025
- Updated
- May 13, 2025
- SHA
- 594a4c18
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-mypo3_sim-full-beta10.0-lr4e-7
This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on the HuggingFaceH4/ultrafeedback_binarized dataset. It achieves the following results on the evaluation set:
- Loss: 1.3702
- Rewards/chosen: 0.0877
- Rewards/rejected: -0.3857
- Rewards/accuracies: 0.7480
- Rewards/margins: 0.4734
- Logps/rejected: -1.1662
- Logps/chosen: -0.9702
- Logits/rejected: -2.5842
- Logits/chosen: -2.6366
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: 4e-07
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- total_eval_batch_size: 32
- 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1.3832 | 0.1047 | 100 | 1.3867 | 0.1162 | -0.1491 | 0.7361 | 0.2653 | -1.1426 | -0.9673 | -2.5828 | -2.6375 |
| 1.4139 | 0.2094 | 200 | 1.4360 | -0.0655 | -0.4534 | 0.7063 | 0.3879 | -1.1730 | -0.9855 | -2.6262 | -2.6797 |
| 1.3957 | 0.3141 | 300 | 1.3946 | 0.0975 | -0.3093 | 0.7202 | 0.4069 | -1.1586 | -0.9692 | -2.6662 | -2.7142 |
| 1.376 | 0.4187 | 400 | 1.3812 | 0.1541 | -0.2826 | 0.7242 | 0.4366 | -1.1559 | -0.9635 | -2.5936 | -2.6453 |
| 1.367 | 0.5234 | 500 | 1.3809 | 0.1133 | -0.3635 | 0.7361 | 0.4767 | -1.1640 | -0.9676 | -2.5923 | -2.6449 |
| 1.3654 | 0.6281 | 600 | 1.3839 | 0.1611 | -0.2773 | 0.7460 | 0.4384 | -1.1554 | -0.9628 | -2.6239 | -2.6742 |
| 1.3722 | 0.7328 | 700 | 1.3789 | 0.1067 | -0.3804 | 0.7381 | 0.4870 | -1.1657 | -0.9683 | -2.5906 | -2.6428 |
| 1.3544 | 0.8375 | 800 | 1.3720 | 0.0906 | -0.3825 | 0.7480 | 0.4731 | -1.1659 | -0.9699 | -2.5825 | -2.6349 |
| 1.3566 | 0.9422 | 900 | 1.3701 | 0.0867 | -0.3862 | 0.7480 | 0.4729 | -1.1663 | -0.9703 | -2.5839 | -2.6363 |
Framework versions
- Transformers 4.43.1
- Pytorch 2.1.2+cu121
- Datasets 2.18.0
- Tokenizers 0.19.1
- Type
- mistral
- License
- apache-2.0
- Created
- May 13, 2025
- Updated
- May 13, 2025