---
license: llama3.2
base_model: meta-llama/Llama-3.2-3B-Instruct
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: llama-real-and-synthetic-sftsd1
  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. -->

# llama-real-and-synthetic-sftsd1

This model is a fine-tuned version of [meta-llama/Llama-3.2-3B-Instruct](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.9714
- Num Input Tokens Seen: 1904984

## 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: 8e-06
- train_batch_size: 8
- eval_batch_size: 16
- seed: 1
- gradient_accumulation_steps: 16
- total_train_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_ratio: 0.05
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Input Tokens Seen |
|:-------------:|:------:|:----:|:---------------:|:-----------------:|
| No log        | 0      | 0    | 1.5937          | 0                 |
| 1.3209        | 0.0856 | 5    | 1.2827          | 161496            |
| 1.1224        | 0.1711 | 10   | 1.1693          | 322408            |
| 1.0851        | 0.2567 | 15   | 1.1131          | 489712            |
| 1.06          | 0.3422 | 20   | 1.0862          | 655168            |
| 1.0298        | 0.4278 | 25   | 1.0657          | 818584            |
| 0.9931        | 0.5134 | 30   | 1.0473          | 978832            |
| 0.9974        | 0.5989 | 35   | 1.0294          | 1143648           |
| 0.9779        | 0.6845 | 40   | 1.0105          | 1316224           |
| 0.9688        | 0.7701 | 45   | 0.9915          | 1476728           |
| 0.9191        | 0.8556 | 50   | 0.9793          | 1645280           |
| 0.9213        | 0.9412 | 55   | 0.9748          | 1807968           |


### Framework versions

- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1