llama_finetune_race_20_cot

brettbbb/llama_finetune_race_20_cot

llama_finetune_race_20_cot is a machine learning model from brettbbb. Use it for the machine learning task on the model card, and read the license before you ship it in a product.

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

Downloads · 30 days

Access

Public

Updated Dec 4, 2023

Repo size

1.1 GB

Likes

Public

Hugging Face

Repo makeup

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.bin160 MB · 50%

At a glance

Access: Public
Created: Dec 4, 2023
Updated: Dec 4, 2023
SHA: e87b5cd1

Base models

meta-llama/Llama-2-7b-hf

Model card

From the Hugging Face model README

llama_finetune_race_20_cot

This model is a fine-tuned version of meta-llama/Llama-2-7b-hf on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 3.2366

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: 0.0001
train_batch_size: 4
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 5
num_epochs: 20
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss
1.2116	1.0	150	1.3188
0.8601	2.0	300	1.3724
0.5773	3.0	450	1.4924
0.6222	4.0	600	1.6729
0.2511	5.0	750	1.8350
0.1554	6.0	900	2.0826
0.1467	7.0	1050	2.2027
0.0909	8.0	1200	2.2817
0.0713	9.0	1350	2.3923
0.0501	10.0	1500	2.6003
0.0526	11.0	1650	2.5589
0.0522	12.0	1800	2.5545
0.0485	13.0	1950	2.7130
0.0297	14.0	2100	2.8527
0.03	15.0	2250	2.8907
0.0327	16.0	2400	3.0280
0.0351	17.0	2550	3.0299
0.0381	18.0	2700	3.1626
0.031	19.0	2850	3.2051
0.028	20.0	3000	3.2366

Framework versions

Transformers 4.36.0.dev0
Pytorch 2.1.0+cu121
Datasets 2.13.1
Tokenizers 0.14.1

Created: Dec 4, 2023
Updated: Dec 4, 2023