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NBERT_DPO
RAIJAY/NBERT_DPO
NBERT_DPO is a machine learning model from RAIJAY. 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 apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- peft
- License
- apache-2.0
- Access
- Public
- Created
- Jan 17, 2024
- Updated
- Jan 21, 2024
- SHA
- 29abc249
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. -->
DPO_TEST_1
This model is a fine-tuned version of mistralai/Mistral-7B-Instruct-v0.2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0229
- Rewards/chosen: -740.3076
- Rewards/rejected: -1059.6395
- Rewards/accuracies: 0.9988
- Rewards/margins: 319.3320
- Logps/rejected: -10817.7158
- Logps/chosen: -7838.3896
- Logits/rejected: -32.6170
- Logits/chosen: -26.3151
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: 0.0002
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 2
- training_steps: 25806
Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 37.7926 | 0.67 | 2867 | 2.8916 | -149.7567 | -197.0506 | 0.9359 | 47.2939 | -2191.8269 | -1932.8804 | 38.0669 | 4.1036 |
| 84.7229 | 1.33 | 5734 | 2.0247 | -327.4202 | -450.9706 | 0.9656 | 123.5504 | -4731.0264 | -3709.5146 | -17.6232 | -16.2614 |
| 0.4302 | 2.0 | 8601 | 0.2490 | -391.4300 | -536.8747 | 0.9923 | 145.4447 | -5590.0679 | -4349.6123 | -13.6537 | -12.7337 |
| 0.6952 | 2.67 | 11468 | 0.0587 | -606.4489 | -775.4740 | 0.9970 | 169.0251 | -7976.0605 | -6499.8027 | 8.1646 | -0.2018 |
| 0.2119 | 3.33 | 14335 | 0.2843 | -641.6364 | -925.0908 | 0.9907 | 283.4543 | -9472.2285 | -6851.6772 | -11.2088 | -13.0496 |
| 0.129 | 4.0 | 17202 | 0.1065 | -706.7910 | -1019.4420 | 0.9958 | 312.6511 | -10415.7412 | -7503.2227 | 29.4650 | 10.0032 |
| 0.1046 | 4.67 | 20069 | 0.1005 | -758.2514 | -1105.3041 | 0.9977 | 347.0525 | -11274.3594 | -8017.8281 | -37.3526 | -28.3912 |
| 0.0656 | 5.33 | 22936 | 0.0241 | -790.2775 | -1078.3324 | 0.9986 | 288.0548 | -11004.6445 | -8338.0889 | -7.1017 | -13.6854 |
| 0.0 | 6.0 | 25803 | 0.0229 | -740.3076 | -1059.6395 | 0.9988 | 319.3320 | -10817.7158 | -7838.3896 | -32.6170 | -26.3151 |
Framework versions
- PEFT 0.7.1
- Transformers 4.36.2
- Pytorch 2.0.1
- Datasets 2.16.1
- Tokenizers 0.15.0
- Library
- peft
- License
- apache-2.0
- Created
- Jan 17, 2024
- Updated
- Jan 21, 2024