---
license: llama3.2
base_model: meta-llama/Llama-3.2-3B-Instruct
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: llama-gsm-real-and-synthetic-sftsd0
  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-gsm-real-and-synthetic-sftsd0

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: 0.9742
- Num Input Tokens Seen: 3592016

## 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: 0
- 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    | 1.5725          | 0                 |
| 1.2448        | 0.0429 | 5    | 1.4163          | 158048            |
| 1.0428        | 0.0857 | 10   | 1.2385          | 310504            |
| 0.9981        | 0.1286 | 15   | 1.2024          | 463304            |
| 0.9389        | 0.1715 | 20   | 1.1632          | 614632            |
| 0.9091        | 0.2144 | 25   | 1.1256          | 770920            |
| 0.9176        | 0.2572 | 30   | 1.1003          | 924776            |
| 0.8873        | 0.3001 | 35   | 1.0791          | 1078728           |
| 0.8641        | 0.3430 | 40   | 1.0582          | 1226520           |
| 0.7978        | 0.3859 | 45   | 1.0406          | 1381640           |
| 0.7849        | 0.4287 | 50   | 1.0210          | 1535808           |
| 0.7892        | 0.4716 | 55   | 1.0047          | 1689112           |
| 0.747         | 0.5145 | 60   | 1.0008          | 1844416           |
| 0.7446        | 0.5573 | 65   | 0.9964          | 1996704           |
| 0.7652        | 0.6002 | 70   | 0.9885          | 2144184           |
| 0.7405        | 0.6431 | 75   | 0.9863          | 2302240           |
| 0.753         | 0.6860 | 80   | 0.9851          | 2467416           |
| 0.7522        | 0.7288 | 85   | 0.9806          | 2623776           |
| 0.7645        | 0.7717 | 90   | 0.9803          | 2778960           |
| 0.7327        | 0.8146 | 95   | 0.9795          | 2933976           |
| 0.7726        | 0.8574 | 100  | 0.9780          | 3089712           |
| 0.7622        | 0.9003 | 105  | 0.9747          | 3240232           |
| 0.7909        | 0.9432 | 110  | 0.9756          | 3402352           |
| 0.7459        | 0.9861 | 115  | 0.9739          | 3560928           |


### Framework versions

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