---
license: apache-2.0
library_name: peft
tags:
- alignment-handbook
- generated_from_trainer
base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
datasets:
- Ritvik19/open-hermes-2_5-reformatted
model-index:
- name: openhermes-tinyllama-sft-qlora
  results: []
---

**Note**: This model card has been generated automatically according to the information the Trainer had access to. 
Visit the [model card](https://ritvik19.github.io/small-llms/) to see the full description.

# openhermes-tinyllama-sft-qlora

This model is a fine-tuned version of [TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T](https://huggingface.co/TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T) on the Ritvik19/open-hermes-2_5-reformatted dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2783

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 0.0002
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 128
- 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

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.1143        | 0.9996 | 1708 | 1.2783          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.40.1
- Pytorch 2.1.2+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1