---
license: other
library_name: peft
tags:
- alignment-handbook
- trl
- sft
- generated_from_trainer
base_model: meta-llama/Meta-Llama-3-8B-Instruct
datasets:
- nthakur/miracl-raft-sft-instruct-v0.2
model-index:
- name: Meta-Llama-3-8B-Instruct-miracl-raft-sft-v2.0
  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. -->

# Meta-Llama-3-8B-Instruct-miracl-raft-sft-v2.0

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/miracl-raft-sft-instruct-v0.2 dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4193

## 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: 1e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 4
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- 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 |
|:-------------:|:------:|:----:|:---------------:|
| 1.5961        | 0.1316 | 200  | 1.4755          |
| 1.6583        | 0.2633 | 400  | 1.4443          |
| 1.5272        | 0.3949 | 600  | 1.4324          |
| 1.5215        | 0.5266 | 800  | 1.4255          |
| 1.4857        | 0.6582 | 1000 | 1.4218          |
| 1.5324        | 0.7899 | 1200 | 1.4199          |
| 1.5235        | 0.9215 | 1400 | 1.4193          |


### Framework versions

- PEFT 0.7.1
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1