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model_hh_shp3_200
guoyu-zhang/model_hh_shp3_200
model_hh_shp3_200 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 17, 2024
- Updated
- Apr 17, 2024
- SHA
- ad0732be
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_hh_shp3_200
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: 2.2700
- Rewards/chosen: -2.0808
- Rewards/rejected: -2.6185
- Rewards/accuracies: 0.5300
- Rewards/margins: 0.5377
- Logps/rejected: -216.1040
- Logps/chosen: -234.7784
- Logits/rejected: -0.6432
- Logits/chosen: -0.6992
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.0 | 8.0 | 100 | 2.2133 | -1.8646 | -2.4313 | 0.5300 | 0.5667 | -215.8960 | -234.5382 | -0.6413 | -0.6979 |
| 0.0 | 16.0 | 200 | 2.2571 | -1.9454 | -2.5096 | 0.5300 | 0.5642 | -215.9830 | -234.6279 | -0.6423 | -0.6991 |
| 0.0 | 24.0 | 300 | 2.2275 | -1.9722 | -2.5264 | 0.5200 | 0.5542 | -216.0016 | -234.6577 | -0.6429 | -0.6988 |
| 0.0 | 32.0 | 400 | 2.2729 | -2.0276 | -2.5437 | 0.5200 | 0.5161 | -216.0209 | -234.7193 | -0.6425 | -0.6991 |
| 0.0 | 40.0 | 500 | 2.2476 | -2.0622 | -2.6344 | 0.5300 | 0.5723 | -216.1217 | -234.7577 | -0.6440 | -0.7005 |
| 0.0 | 48.0 | 600 | 2.2449 | -2.0779 | -2.6423 | 0.5300 | 0.5645 | -216.1305 | -234.7751 | -0.6434 | -0.6996 |
| 0.0 | 56.0 | 700 | 2.2415 | -2.0486 | -2.6063 | 0.5300 | 0.5577 | -216.0904 | -234.7426 | -0.6439 | -0.7000 |
| 0.0 | 64.0 | 800 | 2.2311 | -2.0778 | -2.6332 | 0.5300 | 0.5554 | -216.1204 | -234.7751 | -0.6440 | -0.7000 |
| 0.0 | 72.0 | 900 | 2.2534 | -2.0857 | -2.6363 | 0.5300 | 0.5507 | -216.1238 | -234.7838 | -0.6437 | -0.6996 |
| 0.0 | 80.0 | 1000 | 2.2700 | -2.0808 | -2.6185 | 0.5300 | 0.5377 | -216.1040 | -234.7784 | -0.6432 | -0.6992 |
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 17, 2024
- Updated
- Apr 17, 2024