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---
license: apache-2.0
base_model: mosaicml/mpt-7b-instruct
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: mpt_1000_STEPS_1e6_rate_01_beta_DPO
results: []
---
<!-- 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. -->
# mpt_1000_STEPS_1e6_rate_01_beta_DPO
This model is a fine-tuned version of [mosaicml/mpt-7b-instruct](https://huggingface.co/mosaicml/mpt-7b-instruct) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6555
- Rewards/chosen: -0.9911
- Rewards/rejected: -1.1284
- Rewards/accuracies: 0.6220
- Rewards/margins: 0.1372
- Logps/rejected: -32.8413
- Logps/chosen: -30.7037
- Logits/rejected: 12.5582
- Logits/chosen: 12.5620
## 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: 1e-06
- train_batch_size: 2
- eval_batch_size: 1
- 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: 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.7012 | 0.1 | 100 | 0.6878 | 0.0402 | 0.0262 | 0.5516 | 0.0140 | -21.2953 | -20.3903 | 14.1969 | 14.1998 |
| 0.6605 | 0.2 | 200 | 0.6893 | 0.1209 | 0.0818 | 0.5670 | 0.0391 | -20.7398 | -19.5837 | 13.0519 | 13.0548 |
| 0.657 | 0.29 | 300 | 0.6715 | -0.4737 | -0.5524 | 0.5758 | 0.0787 | -27.0816 | -25.5295 | 13.1844 | 13.1876 |
| 0.6934 | 0.39 | 400 | 0.6676 | -0.8625 | -0.9556 | 0.5934 | 0.0932 | -31.1138 | -29.4168 | 12.8462 | 12.8498 |
| 0.6891 | 0.49 | 500 | 0.6641 | -1.0231 | -1.1288 | 0.6088 | 0.1057 | -32.8455 | -31.0235 | 12.6874 | 12.6909 |
| 0.6492 | 0.59 | 600 | 0.6564 | -0.9706 | -1.0997 | 0.6462 | 0.1291 | -32.5548 | -30.4985 | 12.7748 | 12.7786 |
| 0.6512 | 0.68 | 700 | 0.6569 | -0.9892 | -1.1224 | 0.6220 | 0.1332 | -32.7819 | -30.6846 | 12.6401 | 12.6438 |
| 0.6687 | 0.78 | 800 | 0.6556 | -0.9937 | -1.1300 | 0.6330 | 0.1363 | -32.8571 | -30.7290 | 12.5528 | 12.5566 |
| 0.6668 | 0.88 | 900 | 0.6552 | -0.9899 | -1.1276 | 0.6308 | 0.1376 | -32.8330 | -30.6916 | 12.5557 | 12.5594 |
| 0.5867 | 0.98 | 1000 | 0.6555 | -0.9911 | -1.1284 | 0.6220 | 0.1372 | -32.8413 | -30.7037 | 12.5582 | 12.5620 |
### Framework versions
- Transformers 4.39.1
- Pytorch 2.0.0+cu117
- Datasets 2.18.0
- Tokenizers 0.15.2
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