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---
library_name: peft
tags:
- generated_from_trainer
base_model: sophiex/pythia-1b-sft_hh_rlhf
model-index:
- name: dpo_pythia1b_hh_rlhf.yml_local_29-04-24_13-31-33_xxxxx
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. -->
# dpo_pythia1b_hh_rlhf.yml_local_29-04-24_13-31-33_xxxxx
This model is a fine-tuned version of [sophiex/pythia-1b-sft_hh_rlhf](https://huggingface.co/sophiex/pythia-1b-sft_hh_rlhf) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6581
- Rewards/chosen: -0.1633
- Rewards/rejected: -0.3103
- Rewards/accuracies: 0.5971
- Rewards/margins: 0.1470
- Logps/rejected: -160.0996
- Logps/chosen: -160.0996
## 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-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_steps: 150
- num_epochs: 1
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|
| 0.6931 | 0.0 | 1 | 0.6931 | 0.0 | 0.0 | 0.0 | 0.0 | -158.4665 | -158.4665 |
| 0.6701 | 0.2 | 503 | 0.6745 | -0.0602 | -0.1382 | 0.5734 | 0.0779 | -159.0690 | -159.0690 |
| 0.6624 | 0.4 | 1006 | 0.6670 | -0.0864 | -0.1939 | 0.5862 | 0.1075 | -159.3303 | -159.3303 |
| 0.6587 | 0.6 | 1509 | 0.6612 | -0.1043 | -0.2301 | 0.5891 | 0.1259 | -159.5091 | -159.5091 |
| 0.6511 | 0.8 | 2012 | 0.6581 | -0.1633 | -0.3103 | 0.5971 | 0.1470 | -160.0996 | -160.0996 |
### Framework versions
- PEFT 0.10.0
- Transformers 4.38.1
- Pytorch 2.1.2+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2 |