---
base_model: SebastianSchramm/Cerebras-GPT-111M-instruction
tags:
- generated_from_trainer
model-index:
- name: Cerebras-GPT-111M-instruction-sft-lora
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Cerebras-GPT-111M-instruction-sft-lora

This model is a fine-tuned version of [SebastianSchramm/Cerebras-GPT-111M-instruction](https://huggingface.co/SebastianSchramm/Cerebras-GPT-111M-instruction) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 5.1815

## 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: 2e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 128
- total_train_batch_size: 512
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 5.1636        | 0.62  | 251  | 5.1815          |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu121
- Datasets 2.14.6
- Tokenizers 0.14.1