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---
license: llama3.1
base_model: RyanYr/reward-judge_SFT-genRM_pilot-exp
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: reward-judge_iter-dpo-genRM_pilot-exp_iter1
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. -->
# reward-judge_iter-dpo-genRM_pilot-exp_iter1
This model is a fine-tuned version of [RyanYr/reward-judge_SFT-genRM_pilot-exp](https://huggingface.co/RyanYr/reward-judge_SFT-genRM_pilot-exp) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2657
- Rewards/chosen: -1.3929
- Rewards/rejected: -3.4254
- Rewards/accuracies: 0.8400
- Rewards/margins: 2.0324
- Logps/rejected: -188.0495
- Logps/chosen: -189.5504
- Logits/rejected: -0.7024
- Logits/chosen: -0.6169
## 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: 2e-07
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 128
- total_train_batch_size: 512
- total_eval_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 100
- num_epochs: 2
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:------:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.5701 | 0.9370 | 75 | 0.5377 | 0.1101 | -0.2637 | 0.8400 | 0.3738 | -156.4332 | -174.5201 | -0.6949 | -0.6098 |
| 0.2655 | 1.8739 | 150 | 0.2657 | -1.3929 | -3.4254 | 0.8400 | 2.0324 | -188.0495 | -189.5504 | -0.7024 | -0.6169 |
### Framework versions
- Transformers 4.43.4
- Pytorch 2.1.2+cu121
- Datasets 2.14.6
- Tokenizers 0.19.1
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