llama_finetune_mc_20_cot

brettbbb/llama_finetune_mc_20_cot

llama_finetune_mc_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

640 MB

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Public

Hugging Face

Repo makeup

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At a glance

Access: Public
Created: Dec 4, 2023
Updated: Dec 4, 2023
SHA: e727143a

Base models

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

Model card

From the Hugging Face model README

llama_finetune_mc_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: 4.0293

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
0.9129	1.0	70	1.6726
0.2315	2.0	140	2.3392
0.1771	3.0	210	2.4929
0.1428	4.0	280	2.6548
0.1106	5.0	350	2.6539
0.0592	6.0	420	2.8574
0.051	7.0	490	3.0477
0.0568	8.0	560	3.1988
0.0309	9.0	630	3.2646
0.0235	10.0	700	3.4138
0.0243	11.0	770	3.3431
0.0259	12.0	840	3.5628
0.0232	13.0	910	3.6910
0.0221	14.0	980	3.6820
0.0202	15.0	1050	3.8640
0.0181	16.0	1120	3.9228
0.0191	17.0	1190	3.9716
0.0184	18.0	1260	4.0096
0.0186	19.0	1330	4.0225
0.0165	20.0	1400	4.0293

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