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model_shp2_dpo1
guoyu-zhang/model_shp2_dpo1
model_shp2_dpo1 is a machine learning model from guoyu-zhang. 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 llama2.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- llama2
- Access
- Public
- Created
- Apr 18, 2024
- Updated
- Apr 18, 2024
- SHA
- b4830fad
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. -->
model_shp2_dpo1
This model is a fine-tuned version of meta-llama/Llama-2-7b-chat-hf on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3878
- Rewards/chosen: -7.7597
- Rewards/rejected: -8.0105
- Rewards/accuracies: 0.6100
- Rewards/margins: 0.2509
- Logps/rejected: -290.7956
- Logps/chosen: -314.9470
- Logits/rejected: -1.2493
- Logits/chosen: -1.2818
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: 0.0005
- train_batch_size: 4
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- training_steps: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.0884 | 2.67 | 100 | 0.9487 | -2.0234 | -2.1729 | 0.5500 | 0.1495 | -232.4193 | -257.5841 | -1.3214 | -1.2894 |
| 0.0009 | 5.33 | 200 | 1.4986 | -7.8348 | -7.9036 | 0.5200 | 0.0687 | -289.7258 | -315.6984 | -1.3177 | -1.3419 |
| 0.0001 | 8.0 | 300 | 1.3323 | -7.1704 | -7.4119 | 0.6100 | 0.2415 | -284.8095 | -309.0548 | -1.2674 | -1.2968 |
| 0.0001 | 10.67 | 400 | 1.3579 | -7.4927 | -7.7408 | 0.6100 | 0.2481 | -288.0981 | -312.2774 | -1.2590 | -1.2900 |
| 0.0001 | 13.33 | 500 | 1.3799 | -7.6344 | -7.8716 | 0.6000 | 0.2372 | -289.4062 | -313.6946 | -1.2541 | -1.2860 |
| 0.0001 | 16.0 | 600 | 1.3885 | -7.7023 | -7.9449 | 0.5900 | 0.2425 | -290.1390 | -314.3737 | -1.2519 | -1.2836 |
| 0.0001 | 18.67 | 700 | 1.3971 | -7.7545 | -7.9878 | 0.6100 | 0.2332 | -290.5677 | -314.8956 | -1.2500 | -1.2826 |
| 0.0001 | 21.33 | 800 | 1.3951 | -7.7604 | -8.0061 | 0.6000 | 0.2458 | -290.7514 | -314.9539 | -1.2490 | -1.2817 |
| 0.0001 | 24.0 | 900 | 1.3904 | -7.7591 | -8.0015 | 0.6100 | 0.2424 | -290.7051 | -314.9411 | -1.2491 | -1.2818 |
| 0.0001 | 26.67 | 1000 | 1.3878 | -7.7597 | -8.0105 | 0.6100 | 0.2509 | -290.7956 | -314.9470 | -1.2493 | -1.2818 |
Framework versions
- PEFT 0.10.0
- Transformers 4.39.1
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- peft
- License
- llama2
- Created
- Apr 18, 2024
- Updated
- Apr 18, 2024