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zephyr-7b-dpo-full-magpi-3
sfulay/zephyr-7b-dpo-full-magpi-3
zephyr-7b-dpo-full-magpi-3 is a machine learning model from sfulay. 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
- Aug 12, 2024
- Updated
- Aug 13, 2024
- SHA
- b281371f
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-full-magpi-3
This model is a fine-tuned version of alignment-handbook/zephyr-7b-sft-full on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0003
- Rewards/chosen: -1.7320
- Rewards/rejected: -49.6169
- Rewards/accuracies: 1.0
- Rewards/margins: 47.8849
- Logps/rejected: -5602.4775
- Logps/chosen: -540.1784
- Logits/rejected: 1.2551
- Logits/chosen: -1.4806
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: 8
- eval_batch_size: 8
- seed: 55
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- total_eval_batch_size: 64
- 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.0007 | 0.2841 | 100 | 0.0010 | -1.3251 | -44.7362 | 0.9980 | 43.4111 | -5114.4058 | -499.4881 | -1.4200 | -2.7411 |
| 0.0007 | 0.5682 | 200 | 0.0004 | -1.6225 | -48.3903 | 1.0 | 46.7678 | -5479.8149 | -529.2302 | 0.7429 | -1.8781 |
| 0.0008 | 0.8523 | 300 | 0.0003 | -1.7320 | -49.6169 | 1.0 | 47.8849 | -5602.4775 | -540.1784 | 1.2551 | -1.4806 |
Framework versions
- Transformers 4.44.0.dev0
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- mistral
- License
- apache-2.0
- Created
- Aug 12, 2024
- Updated
- Aug 13, 2024