---
base_model: jingyeom/solar_merge_dpo
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
model-index:
- name: table_to_text_train_solar-merge-dpo
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# table_to_text_train_solar-merge-dpo

This model is a fine-tuned version of [jingyeom/solar_merge_dpo](https://huggingface.co./jingyeom/solar_merge_dpo) on the generator dataset.

## 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: 1
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- total_eval_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- num_epochs: 1

### Training results



### Framework versions

- Transformers 4.36.2
- Pytorch 2.2.0+cu118
- Datasets 2.20.0
- Tokenizers 0.15.2