llama_finetune_mc_20

brettbbb/llama_finetune_mc_20

llama_finetune_mc_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 4, 2023

Repo size

640 MB

Likes

Public

Hugging Face

Repo makeup

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At a glance

Access: Public
Created: Dec 4, 2023
Updated: Dec 4, 2023
SHA: ead41601

Base models

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

Model card

From the Hugging Face model README

llama_finetune_mc_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: 4.4015

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
0.9393	1.0	70	1.8240
0.2414	2.0	140	2.5937
0.126	3.0	210	2.8429
0.0836	4.0	280	2.9219
0.0872	5.0	350	3.2516
0.0575	6.0	420	3.1180
0.0482	7.0	490	3.4019
0.0356	8.0	560	3.3709
0.0305	9.0	630	3.5186
0.0272	10.0	700	3.8218
0.0243	11.0	770	3.7827
0.0312	12.0	840	3.9016
0.0259	13.0	910	4.0432
0.027	14.0	980	4.1255
0.0205	15.0	1050	4.1950
0.0199	16.0	1120	4.2793
0.0219	17.0	1190	4.3363
0.0197	18.0	1260	4.3627
0.0218	19.0	1330	4.3868
0.0201	20.0	1400	4.4015

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