zephyr-7b-ultra-p-0.02
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: 0.5105
- Rewards/chosen: -0.5077
- Rewards/rejected: -2.0215
- Rewards/accuracies: 0.7344
- Rewards/margins: 1.5138
- Logps/rejected: -267.6940
- Logps/chosen: -235.0849
- Logits/rejected: -2.5635
- Logits/chosen: -2.6281
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: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 8
- total_train_batch_size: 64
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 0.5874 | 0.1030 | 100 | 0.5573 | -0.2314 | -0.8600 | 0.6797 | 0.6286 | -256.0786 | -232.3214 | -2.5790 | -2.6440 |
| 0.5473 | 0.2060 | 200 | 0.5392 | -0.5176 | -1.5117 | 0.7031 | 0.9941 | -262.5964 | -235.1839 | -2.5004 | -2.5620 |
| 0.5436 | 0.3090 | 300 | 0.5426 | -0.5160 | -1.3998 | 0.6797 | 0.8838 | -261.4774 | -235.1676 | -2.5184 | -2.5855 |
| 0.5247 | 0.4120 | 400 | 0.5351 | -0.6497 | -2.2938 | 0.7422 | 1.6441 | -270.4168 | -236.5049 | -2.5925 | -2.6552 |
| 0.5168 | 0.5150 | 500 | 0.5223 | -0.3770 | -1.8625 | 0.6875 | 1.4854 | -266.1038 | -233.7780 | -2.5839 | -2.6438 |
| 0.5123 | 0.6180 | 600 | 0.5238 | -0.3471 | -1.8780 | 0.7344 | 1.5310 | -266.2595 | -233.4782 | -2.5479 | -2.6121 |
| 0.5266 | 0.7210 | 700 | 0.5222 | -0.3742 | -1.8507 | 0.7109 | 1.4765 | -265.9860 | -233.7501 | -2.5703 | -2.6311 |
| 0.5395 | 0.8240 | 800 | 0.5190 | -0.4812 | -2.0133 | 0.7266 | 1.5321 | -267.6115 | -234.8195 | -2.5854 | -2.6511 |
| 0.4871 | 0.9270 | 900 | 0.5121 | -0.4722 | -1.9692 | 0.7109 | 1.4969 | -267.1705 | -234.7301 | -2.5606 | -2.6256 |
Framework versions
- Transformers 4.45.1
- Pytorch 2.4.1+cu121
- Datasets 3.0.0
- Tokenizers 0.20.0
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Model tree for tongliuphysics/zephyr-7b-ultra-p-0.02
Base model
mistralai/Mistral-7B-v0.1
Finetuned
alignment-handbook/zephyr-7b-sft-full