---
base_model: meta-llama/Llama-2-13b-hf
library_name: peft
license: llama2
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: saiga13summary_v21_FULL
  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_v21_FULL

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: 0.8578

## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 1.4321        | 0.7168 | 20   | 1.2582          |
| 1.2013        | 1.4337 | 40   | 1.1311          |
| 1.0033        | 2.1505 | 60   | 1.0325          |
| 0.8827        | 2.8674 | 80   | 0.9661          |
| 0.8191        | 3.5842 | 100  | 0.9235          |
| 0.762         | 4.3011 | 120  | 0.8912          |
| 0.7698        | 5.0179 | 140  | 0.8706          |
| 0.7386        | 5.7348 | 160  | 0.8638          |
| 0.7092        | 6.4516 | 180  | 0.8607          |
| 0.6884        | 7.1685 | 200  | 0.8578          |


### 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