---
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-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-gsm-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: 0.9747
- Num Input Tokens Seen: 3594944

## 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                 |
| 1.2701        | 0.0429 | 5    | 1.4359          | 158456            |
| 1.0045        | 0.0857 | 10   | 1.2327          | 313520            |
| 1.0011        | 0.1286 | 15   | 1.1670          | 463960            |
| 0.9687        | 0.1715 | 20   | 1.1227          | 616216            |
| 0.8884        | 0.2144 | 25   | 1.1006          | 768608            |
| 0.879         | 0.2572 | 30   | 1.0785          | 933288            |
| 0.8624        | 0.3001 | 35   | 1.0626          | 1083272           |
| 0.8277        | 0.3430 | 40   | 1.0467          | 1244152           |
| 0.8307        | 0.3859 | 45   | 1.0267          | 1396808           |
| 0.791         | 0.4287 | 50   | 1.0107          | 1555096           |
| 0.7929        | 0.4716 | 55   | 1.0002          | 1710680           |
| 0.7695        | 0.5145 | 60   | 0.9954          | 1864128           |
| 0.7651        | 0.5573 | 65   | 0.9924          | 2018480           |
| 0.7788        | 0.6002 | 70   | 0.9886          | 2173056           |
| 0.7423        | 0.6431 | 75   | 0.9863          | 2326744           |
| 0.7635        | 0.6860 | 80   | 0.9835          | 2483616           |
| 0.7709        | 0.7288 | 85   | 0.9826          | 2640104           |
| 0.7663        | 0.7717 | 90   | 0.9797          | 2796664           |
| 0.7859        | 0.8146 | 95   | 0.9783          | 2950688           |
| 0.7699        | 0.8574 | 100  | 0.9772          | 3107872           |
| 0.7484        | 0.9003 | 105  | 0.9769          | 3258376           |
| 0.7532        | 0.9432 | 110  | 0.9740          | 3411448           |
| 0.7386        | 0.9861 | 115  | 0.9756          | 3567688           |


### Framework versions

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