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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-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
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