---
base_model: meta-llama/Llama-2-13b-hf
library_name: peft
license: llama2
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: saiga13summary_v20LORA
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# saiga13summary_v20LORA

This model is a fine-tuned version of [meta-llama/Llama-2-13b-hf](https://huggingface.co/meta-llama/Llama-2-13b-hf) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.1261

## 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: 0.0003
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 10
- total_train_batch_size: 20
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 200

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 1.5616        | 0.8621 | 20   | 1.5150          |
| 1.2729        | 1.7241 | 40   | 1.3544          |
| 1.0355        | 2.5862 | 60   | 1.2262          |
| 0.8974        | 3.4483 | 80   | 1.1656          |
| 0.7686        | 4.3103 | 100  | 1.1302          |
| 0.7841        | 5.1724 | 120  | 1.1226          |
| 0.73          | 6.0345 | 140  | 1.1187          |
| 0.7067        | 6.8966 | 160  | 1.1217          |
| 0.6758        | 7.7586 | 180  | 1.1218          |
| 0.6644        | 8.6207 | 200  | 1.1261          |


### Framework versions

- PEFT 0.12.1.dev0
- Transformers 4.45.0.dev0
- Pytorch 2.3.0+cu121
- Datasets 2.17.1
- Tokenizers 0.19.1