---
base_model: meta-llama/Meta-Llama-3-8B-Instruct
datasets:
- nthakur/mirage-bench-sft-teacher-gpt-4o
library_name: peft
license: llama3
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
model-index:
- name: Meta-Llama-3-8B-Instruct-mirage-mirage-gpt-4o-sft-instruct-llama-3
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# nthakur/Meta-Llama-3-8B-Instruct-mirage-bench-sft

This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the [nthakur/mirage-bench-sft-teacher-gpt-4o](https://huggingface.co/datasets/nthakur/mirage-bench-sft-teacher-gpt-4o) dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2505

## 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: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- total_eval_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 1

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 0.3599        | 0.1268 | 200  | 0.3172          |
| 0.3295        | 0.2536 | 400  | 0.2919          |
| 0.323         | 0.3803 | 600  | 0.2789          |
| 0.3274        | 0.5071 | 800  | 0.2686          |
| 0.3171        | 0.6339 | 1000 | 0.2597          |
| 0.3034        | 0.7607 | 1200 | 0.2540          |
| 0.265         | 0.8875 | 1400 | 0.2510          |


### Framework versions

- PEFT 0.10.0
- Transformers 4.44.0
- Pytorch 2.4.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1