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---
library_name: peft
license: llama3.2
base_model: meta-llama/Llama-3.2-3B
tags:
- base_model:adapter:meta-llama/Llama-3.2-3B
- lora
- transformers
pipeline_tag: text-generation
model-index:
- name: testing-without-deepspeed
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. -->
# testing-without-deepspeed
This model is a fine-tuned version of [meta-llama/Llama-3.2-3B](https://huggingface.co/meta-llama/Llama-3.2-3B) on an unknown dataset.
## 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: 5e-05
- train_batch_size: 2
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 10
- total_train_batch_size: 20
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.03
- training_steps: 10
### Training results
### Framework versions
- PEFT 0.16.0
- Transformers 4.53.1
- Pytorch 2.7.1+cu126
- Datasets 2.15.0
- Tokenizers 0.21.2 |