---
license: apache-2.0
base_model: zera09/long_t5_4
tags:
- trl
- dpo
- generated_from_trainer
model-index:
- name: dpo_t5
  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_t5

This model is a fine-tuned version of [zera09/long_t5_4](https://huggingface.co/zera09/long_t5_4) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1323
- Rewards/chosen: -2.0711
- Rewards/rejected: -8.9414
- Rewards/accuracies: 0.8944
- Rewards/margins: 6.8703
- Logps/rejected: -20.2375
- Logps/chosen: -30.8509
- Logits/rejected: -17.6818
- Logits/chosen: -17.7684

## 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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- training_steps: 2000

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen |
|:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------:|:------------:|:---------------:|:-------------:|
| 0.2665        | 0.625 | 500  | 0.1528          | -0.7661        | -5.9810          | 0.8906             | 5.2149          | -15.3035       | -28.6760     | -18.1636        | -18.1581      |
| 0.1513        | 1.25  | 1000 | 0.1361          | -1.7646        | -8.3032          | 0.8963             | 6.5386          | -19.1739       | -30.3402     | -17.7553        | -17.8268      |
| 0.1242        | 1.875 | 1500 | 0.1325          | -2.0594        | -8.8889          | 0.8950             | 6.8295          | -20.1501       | -30.8315     | -17.6642        | -17.7493      |
| 0.1112        | 2.5   | 2000 | 0.1323          | -2.0711        | -8.9414          | 0.8944             | 6.8703          | -20.2375       | -30.8509     | -17.6818        | -17.7684      |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.1+cu118
- Datasets 2.20.0
- Tokenizers 0.19.1