---
license: apache-2.0
base_model: Deci/DeciLM-7B
datasets:
- HuggingFaceH4/ultrachat_200k
tags:
- generated_from_trainer
model-index:
- name: bbdeci7b-sft-lora
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bbdeci7b-sft-lora

This model is a fine-tuned version of [Deci/DeciLM-7B](https://huggingface.co/Deci/DeciLM-7B) on [HuggingFaceH4/ultrachat_200k](https://huggingface.co/datasets/HuggingFaceH4/ultrachat_200k)
It achieves the following results on the evaluation set:
- Loss: 1.0110

## Model description
more information to come soon

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- num_devices: 2
- gradient_accumulation_steps: 128
- total_train_batch_size: 1024
- total_eval_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 1

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.0062        | 1.00  | 136  | 1.0110          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1