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---
library_name: peft
license: llama3.2
base_model: meta-llama/Llama-3.2-1B
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
model-index:
- name: llama3-1b-closedqa-gpt4o-100k
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. -->
# llama3-1b-closedqa-gpt4o-100k
This model is a fine-tuned version of [meta-llama/Llama-3.2-1B](https://huggingface.co/meta-llama/Llama-3.2-1B) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5954
## 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: 0.0002
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 512
- total_eval_batch_size: 256
- optimizer: Use OptimizerNames.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: 0.1
- num_epochs: 10
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.845 | 1.0 | 32 | 2.6849 |
| 1.6455 | 2.0 | 64 | 2.6129 |
| 1.5798 | 3.0 | 96 | 2.6014 |
| 1.546 | 4.0 | 128 | 2.5975 |
| 1.5244 | 5.0 | 160 | 2.5963 |
| 1.5072 | 6.0 | 192 | 2.5944 |
| 1.501 | 7.0 | 224 | 2.5941 |
| 1.4858 | 8.0 | 256 | 2.5944 |
| 1.4917 | 9.0 | 288 | 2.5956 |
| 1.4886 | 10.0 | 320 | 2.5954 |
### Framework versions
- PEFT 0.15.1
- Transformers 4.50.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1 |