---
license: other
base_model: meta-llama/Meta-Llama-3-70B 
tags:
- llama-factory
- full
- generated_from_trainer
model-index:
- name: C018_random_sample_Meta-Llama-3-70B_instruct_20240512_233548
  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. -->

# C018_random_sample_Meta-Llama-3-70B_instruct_20240512_233548

This model is a fine-tuned version of [./output/training_results/C018_random_sample_Meta-Llama-3-70B_pretrain_20240511_145805](https://huggingface.co/./output/training_results/C018_random_sample_Meta-Llama-3-70B_pretrain_20240511_145805) on the curated_instructions_3k dataset.

## 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: 3e-06
- train_batch_size: 2
- eval_batch_size: 4
- seed: 42
- distributed_type: multi-GPU
- num_devices: 32
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- total_eval_batch_size: 128
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: polynomial
- lr_scheduler_warmup_ratio: 0.075
- num_epochs: 1.0
- mixed_precision_training: Native AMP

### Training results



### Framework versions

- Transformers 4.40.2
- Pytorch 2.3.0
- Datasets 2.19.1
- Tokenizers 0.19.1