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Llama2-7b-sft-chat-custom-template-dpo
skymizer/Llama2-7b-sft-chat-custom-template-dpo
Llama2-7b-sft-chat-custom-template-dpo is a text generation model from skymizer. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as llama2.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Generation
- Library
- transformers
- License
- llama2
- Model type
- llama
- Access
- Public
- Created
- Jun 11, 2024
- Updated
- Jun 11, 2024
- SHA
- 22302ebd
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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. -->
Llama2-7b-sft-chat-custom-template-dpo
This model is a fine-tuned version of elichen3051/llama2-7b-sft-chat-no-template on the HuggingFaceH4/ultrafeedback_binarized, the HuggingFaceH4/orca_dpo_pairs and the HuggingFaceH4/cai-conversation-harmless datasets. It achieves the following results on the evaluation set:
- Loss: 0.4717
- Rewards/chosen: -1.6807
- Rewards/rejected: -3.1957
- Rewards/accuracies: 0.6345
- Rewards/margins: 1.5150
- Logps/rejected: -519.5196
- Logps/chosen: -379.2986
- Logits/rejected: -2.7275
- Logits/chosen: -2.7213
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: 7
- gradient_accumulation_steps: 8
- total_train_batch_size: 448
- total_eval_batch_size: 56
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 2
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.6727 | 0.2032 | 43 | 0.6714 | -0.0530 | -0.0999 | 0.5871 | 0.0470 | -209.9431 | -216.5270 | -2.2167 | -2.2006 |
| 0.6056 | 0.4064 | 86 | 0.6041 | -0.5876 | -0.8878 | 0.6023 | 0.3002 | -288.7347 | -269.9940 | -3.0277 | -3.0177 |
| 0.573 | 0.6096 | 129 | 0.5451 | -0.9286 | -1.6015 | 0.6174 | 0.6729 | -360.0960 | -304.0913 | -2.9301 | -2.9238 |
| 0.5239 | 0.8128 | 172 | 0.5123 | -1.2863 | -2.2358 | 0.6288 | 0.9495 | -423.5324 | -339.8588 | -2.9884 | -2.9803 |
| 0.4668 | 1.0159 | 215 | 0.4945 | -1.4994 | -2.6377 | 0.6439 | 1.1383 | -463.7195 | -361.1752 | -2.5910 | -2.5843 |
| 0.4607 | 1.2191 | 258 | 0.4816 | -1.5810 | -2.8887 | 0.6402 | 1.3077 | -488.8177 | -369.3280 | -2.8026 | -2.7951 |
| 0.5068 | 1.4223 | 301 | 0.4764 | -1.5805 | -3.0061 | 0.6402 | 1.4256 | -500.5590 | -369.2790 | -2.7586 | -2.7513 |
| 0.4724 | 1.6255 | 344 | 0.4730 | -1.6832 | -3.1741 | 0.6383 | 1.4909 | -517.3631 | -379.5493 | -2.6296 | -2.6237 |
| 0.4836 | 1.8287 | 387 | 0.4718 | -1.6795 | -3.1900 | 0.6420 | 1.5105 | -518.9514 | -379.1832 | -2.6434 | -2.6374 |
Framework versions
- Transformers 4.42.0.dev0
- Pytorch 2.3.1
- Datasets 2.19.2
- Tokenizers 0.19.1
- Task
- Text Generation
- Library
- transformers
- Type
- llama
- License
- llama2
- Created
- Jun 11, 2024
- Updated
- Jun 11, 2024