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---
base_model: meta-llama/Llama-3.2-3B-Instruct
library_name: peft
license: llama3.2
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: Llama3.2-1B-SETBOX
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. -->
# Llama3.2-1B-SETBOX
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 the None dataset.
It achieves the following results on the evaluation set:
- Loss: 4.7350
## 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: 0.0001
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: constant_with_warmup
- lr_scheduler_warmup_steps: 50
- training_steps: 100
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.3077 | 10.0 | 10 | 3.5028 |
| 0.1409 | 20.0 | 20 | 3.2245 |
| 0.0007 | 30.0 | 30 | 3.3852 |
| 0.0001 | 40.0 | 40 | 3.9938 |
| 0.0 | 50.0 | 50 | 4.4237 |
| 0.0 | 60.0 | 60 | 4.6380 |
| 0.0 | 70.0 | 70 | 4.7116 |
| 0.0 | 80.0 | 80 | 4.7325 |
| 0.0 | 90.0 | 90 | 4.7363 |
| 0.0 | 100.0 | 100 | 4.7350 |
### Framework versions
- PEFT 0.10.0
- Transformers 4.44.2
- Pytorch 2.5.1+cu124
- Datasets 2.14.4
- Tokenizers 0.19.1 |