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---
library_name: peft
license: llama3.2
base_model: meta-llama/Llama-3.2-3B-Instruct
tags:
- trl
- sft
- generated_from_trainer
model-index:
- name: Llama-3.2-3B-Instruct-combinedTask-extraData
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# Llama-3.2-3B-Instruct-combinedTask-extraData
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: 0.1110
## 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: 1e-05
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 5
- total_train_batch_size: 5
- optimizer: Use paged_adamw_32bit with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.01
- num_epochs: 1
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| No log | 0 | 0 | 1.9377 |
| 0.9095 | 0.0937 | 100 | 0.1349 |
| 0.6606 | 0.1873 | 200 | 0.1242 |
| 0.6203 | 0.2810 | 300 | 0.1202 |
| 0.381 | 0.3746 | 400 | 0.1173 |
| 0.4891 | 0.4683 | 500 | 0.1152 |
| 0.6971 | 0.5619 | 600 | 0.1139 |
| 0.4967 | 0.6556 | 700 | 0.1127 |
| 0.4527 | 0.7492 | 800 | 0.1118 |
| 0.4013 | 0.8429 | 900 | 0.1114 |
| 0.4653 | 0.9365 | 1000 | 0.1110 |
### Framework versions
- PEFT 0.13.2
- Transformers 4.46.0.dev0
- Pytorch 2.2.0
- Datasets 3.0.2
- Tokenizers 0.20.1