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---
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
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