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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: llama3.1-1b-coding-gpt4o-100k2
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. -->
# llama3.1-1b-coding-gpt4o-100k2
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: 1.6745
## 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: 0.002
- 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 1.2024 | 1.0 | 34 | 1.7381 |
| 1.0846 | 2.0 | 68 | 1.6923 |
| 1.0447 | 3.0 | 102 | 1.6731 |
| 1.0207 | 4.0 | 136 | 1.6660 |
| 1.0039 | 5.0 | 170 | 1.6681 |
| 0.9957 | 6.0 | 204 | 1.6620 |
| 0.9793 | 7.0 | 238 | 1.6656 |
| 0.9761 | 8.0 | 272 | 1.6707 |
| 0.9678 | 9.0 | 306 | 1.6741 |
| 0.9709 | 10.0 | 340 | 1.6745 |
### Framework versions
- PEFT 0.15.1
- Transformers 4.50.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1 |