llama_finetune_cs_20

brettbbb/llama_finetune_cs_20

llama_finetune_cs_20 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 7, 2023

Repo size

1.1 GB

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Public

Hugging Face

Repo makeup

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.bin160 MB · 50%

At a glance

Access: Public
Created: Dec 7, 2023
Updated: Dec 7, 2023
SHA: 35c10785

Base models

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

Model card

From the Hugging Face model README

llama_finetune_cs_20

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: 3.0872

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
1.6881	1.0	150	1.6028
1.3532	2.0	300	1.6693
0.9084	3.0	450	1.8783
0.4352	4.0	600	2.0825
0.374	5.0	750	2.1988
0.2596	6.0	900	2.2869
0.2316	7.0	1050	2.3945
0.1754	8.0	1200	2.5528
0.1698	9.0	1350	2.6226
0.1371	10.0	1500	2.5997
0.1702	11.0	1650	2.7153
0.1391	12.0	1800	2.6888
0.1894	13.0	1950	2.7324
0.1504	14.0	2100	2.8534
0.132	15.0	2250	2.8804
0.1585	16.0	2400	2.9148
0.1497	17.0	2550	2.9550
0.1099	18.0	2700	3.0002
0.1321	19.0	2850	3.0532
0.11	20.0	3000	3.0872

Framework versions

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

Created: Dec 7, 2023
Updated: Dec 7, 2023