---
license: other
base_model: nnheui/stablelm-2-1_6b-sft-full
tags:
- alignment-handbook
- trl
- dpo
- generated_from_trainer
- trl
- dpo
- generated_from_trainer
datasets:
- nnheui/stablelm-2-1_6b-sft-full-ultrachat_200k_generated-1_61101
model-index:
- name: stablelm-2-1_6b-sft-full-spin-sigmoid-iter0_1_61101_small_margin_0_1
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# stablelm-2-1_6b-sft-full-spin-sigmoid-iter0_1_61101_small_margin_0_1

This model is a fine-tuned version of [nnheui/stablelm-2-1_6b-sft-full](https://huggingface.co/nnheui/stablelm-2-1_6b-sft-full) on the nnheui/stablelm-2-1_6b-sft-full-ultrachat_200k_generated-1_61101 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: 5e-07
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- 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



### Framework versions

- Transformers 4.39.3
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2