Llama-3.1-8B-Instruct-EI2-2ep-sft

qfq/Llama-3.1-8B-Instruct-EI2-2ep-sft

Llama-3.1-8B-Instruct-EI2-2ep-sft is a machine learning model from qfq. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as llama3.1.

should probably proofread and complete it, then remove this comment. --

Downloads · 30 days

12% of all-time downloads

All-time downloads

Public

Parameters

32.1 GB on disk

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.safetensors32.1 GB · 100%

At a glance

License: llama3.1
Model type: llama
Access: Public
Created: Oct 20, 2024
Updated: Oct 20, 2024
SHA: 9c1e50f1

Base models

qfq/Llama-3.1-8B-Instruct-EI1-2ep-sft

Model card

From the Hugging Face model README

Llama-3.1-8B-Instruct-EI2-2ep-sft-fix

This model is a fine-tuned version of qfq/Llama-3.1-8B-Instruct-EI1-2ep-sft on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1677

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: 6e-06
train_batch_size: 1
eval_batch_size: 8
seed: 42
distributed_type: multi-GPU
num_devices: 64
total_train_batch_size: 64
total_eval_batch_size: 512
optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 2.0

Training results

Training Loss	Epoch	Step	Validation Loss
No log	0.5814	100	0.1754
No log	1.1628	200	0.1733
No log	1.7442	300	0.1677

Framework versions

Transformers 4.43.4
Pytorch 2.4.0+cu121
Datasets 3.0.1
Tokenizers 0.19.1

Type: llama
License: llama3.1
Created: Oct 20, 2024
Updated: Oct 20, 2024