---
base_model: dmis-lab/selfbiorag_7b
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: selfbiorag-7b-dpo-full-wo-kqa_golden-ep3
  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. -->

# selfbiorag-7b-dpo-full-wo-kqa_golden-ep3

This model is a fine-tuned version of [dmis-lab/selfbiorag_7b](https://huggingface.co/dmis-lab/selfbiorag_7b) on an unknown dataset.
It achieves the following results on the evaluation set:
- Logits/chosen: -1.8108
- Logits/rejected: -1.5449
- Logps/chosen: -121.3720
- Logps/rejected: -144.0564
- Loss: 0.6355
- Rewards/accuracies: 0.7326
- Rewards/chosen: 0.1376
- Rewards/margins: 0.1371
- Rewards/rejected: 0.0005

## 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: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Logits/chosen | Logits/rejected | Logps/chosen | Logps/rejected | Validation Loss | Rewards/accuracies | Rewards/chosen | Rewards/margins | Rewards/rejected |
|:-------------:|:-----:|:----:|:-------------:|:---------------:|:------------:|:--------------:|:---------------:|:------------------:|:--------------:|:---------------:|:----------------:|
| 0.6595        | 0.22  | 100  | -1.7720       | -1.4957         | -124.0620    | -139.3042      | 0.6647          | 0.6875             | 0.1107         | 0.0627          | 0.0480           |
| 0.6273        | 0.45  | 200  | -1.7316       | -1.4653         | -119.3853    | -138.4957      | 0.6494          | 0.6979             | 0.1574         | 0.1013          | 0.0561           |
| 0.6009        | 0.67  | 300  | -1.7770       | -1.5098         | -120.2743    | -141.8649      | 0.6398          | 0.7188             | 0.1485         | 0.1262          | 0.0224           |
| 0.6003        | 0.9   | 400  | -1.8108       | -1.5449         | -121.3720    | -144.0564      | 0.6355          | 0.7326             | 0.1376         | 0.1371          | 0.0005           |


### Framework versions

- Transformers 4.39.0.dev0
- Pytorch 2.1.2
- Datasets 2.14.6
- Tokenizers 0.15.2