llama_finetune_arc_20_cot

brettbbb/llama_finetune_arc_20_cot

llama_finetune_arc_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 7, 2023

Repo size

1.1 GB

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Public

Hugging Face

Repo makeup

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At a glance

Access: Public
Created: Dec 7, 2023
Updated: Dec 7, 2023
SHA: febd6943

Base models

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

Model card

From the Hugging Face model README

llama_finetune_arc_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: 2.9424

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
1.1762	1.0	150	1.1987
0.9486	2.0	300	1.2338
0.6296	3.0	450	1.4406
0.244	4.0	600	1.7124
0.2032	5.0	750	1.8587
0.1091	6.0	900	2.0025
0.1157	7.0	1050	2.0500
0.1458	8.0	1200	2.2667
0.0639	9.0	1350	2.1986
0.0651	10.0	1500	2.3844
0.0621	11.0	1650	2.4926
0.0474	12.0	1800	2.5012
0.0524	13.0	1950	2.6149
0.0789	14.0	2100	2.6728
0.0428	15.0	2250	2.7003
0.0446	16.0	2400	2.7733
0.0762	17.0	2550	2.8436
0.0535	18.0	2700	2.9111
0.04	19.0	2850	2.9168
0.0419	20.0	3000	2.9424

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