---
library_name: peft
license: llama3.2
base_model: meta-llama/Llama-3.2-3B
tags:
- trl
- sft
- generated_from_trainer
datasets:
- generator
model-index:
- name: llama3-3b-summarize-gpt4o-128k
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# llama3-3b-summarize-gpt4o-128k

This model is a fine-tuned version of [meta-llama/Llama-3.2-3B](https://huggingface.co/meta-llama/Llama-3.2-3B) on the generator dataset.
It achieves the following results on the evaluation set:
- Loss: 2.5189

## 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: 4
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 64
- total_eval_batch_size: 16
- 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 |
|:-------------:|:------:|:----:|:---------------:|
| 1.5142        | 1.0    | 219  | 2.4458          |
| 1.4574        | 2.0    | 438  | 2.4565          |
| 1.4298        | 3.0    | 657  | 2.4537          |
| 1.3972        | 4.0    | 876  | 2.4622          |
| 1.3868        | 5.0    | 1095 | 2.4810          |
| 1.3692        | 6.0    | 1314 | 2.5001          |
| 1.3509        | 7.0    | 1533 | 2.5038          |
| 1.3413        | 8.0    | 1752 | 2.5123          |
| 1.3562        | 9.0    | 1971 | 2.5176          |
| 1.3538        | 9.9565 | 2180 | 2.5189          |


### Framework versions

- PEFT 0.15.1
- Transformers 4.50.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1