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zephyr-7b-dpo-full
ishant0121/zephyr-7b-dpo-full
zephyr-7b-dpo-full is a text generation model from ishant0121. Use it when you need the model to write or continue text. It is set up for transformers. 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
- Task
- Text Generation
- Library
- transformers
- License
- apache-2.0
- Model type
- mistral
- Access
- Public
- Created
- Jun 17, 2024
- Updated
- Jun 21, 2024
- SHA
- 2f8d5c3c
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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
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: 0.4963
- Rewards/chosen: -1.3619
- Rewards/rejected: -2.3893
- Rewards/accuracies: 0.7619
- Rewards/margins: 1.0274
- Logps/rejected: -499.1414
- Logps/chosen: -418.1593
- Logits/rejected: 1.1001
- Logits/chosen: 0.2372
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: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- 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 | Logits/chosen | Logits/rejected | Logps/chosen | Logps/rejected | Validation Loss | Rewards/accuracies | Rewards/chosen | Rewards/margins | Rewards/rejected |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.6267 | 0.1047 | 100 | -2.4885 | -2.4228 | -298.8784 | -298.6605 | 0.6219 | 0.7123 | -0.1691 | 0.2154 | -0.3845 |
| 0.5618 | 0.2093 | 200 | -1.1643 | -0.9025 | -368.7673 | -409.5043 | 0.5559 | 0.75 | -0.8680 | 0.6250 | -1.4930 |
| 0.5298 | 0.3140 | 300 | 0.1099 | 0.5848 | -387.0007 | -442.8027 | 0.5283 | 0.7679 | -1.0503 | 0.7756 | -1.8260 |
| 0.5585 | 0.4186 | 400 | -1.2260 | -0.6461 | -368.9012 | -419.9413 | 0.5200 | 0.7639 | -0.8693 | 0.7280 | -1.5973 |
| 0.5074 | 0.5233 | 500 | 0.1651 | 0.9655 | -402.5899 | -472.5687 | 0.5043 | 0.7698 | -1.2062 | 0.9174 | -2.1236 |
| 0.4678 | 0.6279 | 600 | -0.1276 | 0.7528 | -405.3750 | -480.0774 | 0.4995 | 0.7698 | -1.2341 | 0.9646 | -2.1987 |
| 0.4767 | 0.7326 | 700 | 0.4974 | -1.3438 | -2.3581 | 0.7619 | 1.0142 | -496.0146 | -416.3518 | 1.1957 | 0.3567 |
| 0.475 | 0.8373 | 800 | 0.4971 | -1.3985 | -2.3889 | 0.7639 | 0.9904 | -499.1005 | -421.8184 | 1.0101 | 0.2102 |
| 0.4828 | 0.9419 | 900 | 0.4963 | -1.3653 | -2.3944 | 0.7639 | 1.0292 | -499.6516 | -418.4965 | 1.1202 | 0.2514 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.1+cu121
- Datasets 2.19.2
- Tokenizers 0.19.1
- Task
- Text Generation
- Library
- transformers
- Type
- mistral
- License
- apache-2.0
- Created
- Jun 17, 2024
- Updated
- Jun 21, 2024