---
base_model: meta-llama/Meta-Llama-3-8B
datasets:
- llama-duo/synth_summarize_dataset_dedup
library_name: peft
license: llama3
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
model-index:
- name: llama3-8b-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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# llama3-8b-summarize-gpt4o-128k

This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B](https://huggingface.co/meta-llama/Meta-Llama-3-8B) on the llama-duo/synth_summarize_dataset_dedup dataset.
It achieves the following results on the evaluation set:
- Loss: 2.2606

## 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: 8
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 8
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.8176        | 0.9954 | 109  | 2.1150          |
| 0.7464        | 2.0    | 219  | 2.1313          |
| 0.7128        | 2.9954 | 328  | 2.1444          |
| 0.6924        | 4.0    | 438  | 2.1631          |
| 0.6777        | 4.9954 | 547  | 2.1823          |
| 0.6526        | 6.0    | 657  | 2.2078          |
| 0.6326        | 6.9954 | 766  | 2.2296          |
| 0.6311        | 8.0    | 876  | 2.2485          |
| 0.6233        | 8.9954 | 985  | 2.2587          |
| 0.6194        | 9.9543 | 1090 | 2.2606          |


### Framework versions

- PEFT 0.12.0
- Transformers 4.44.0
- Pytorch 2.2.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1