llama3_help_rm_2ep

Jennny/llama3_help_rm_2ep

llama3_help_rm_2ep is a machine learning model from Jennny. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as llama3.1.

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

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Hugging Face

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At a glance

License: llama3.1
Model type: llama
Access: Public
Created: Nov 11, 2025
Updated: Nov 11, 2025
SHA: a7545b3b

Base models

meta-llama/Llama-3.1-8B-Instruct

Model card

From the Hugging Face model README

llama3_rm

This model is a fine-tuned version of meta-llama/Llama-3.1-8B-Instruct on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.3742
Accuracy: 0.8948

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: 2e-06
train_batch_size: 4
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 8
total_train_batch_size: 256
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.03
num_epochs: 2

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6626	0.0705	10	0.5923	0.6719
0.5039	0.1410	20	0.5139	0.7568
0.4865	0.2115	30	0.4816	0.7646
0.4814	0.2819	40	0.4566	0.7891
0.4932	0.3524	50	0.4449	0.7979
0.4723	0.4229	60	0.4267	0.8031
0.3906	0.4934	70	0.4042	0.8208
0.3418	0.5639	80	0.3907	0.8245
0.4427	0.6344	90	0.3736	0.8359
0.4022	0.7048	100	0.3578	0.8484
0.3738	0.7753	110	0.3470	0.8542
0.3619	0.8458	120	0.3328	0.8609
0.3266	0.9163	130	0.3256	0.8651
0.2786	0.9868	140	0.3245	0.8693
0.1685	1.0573	150	0.4035	0.8786
0.0421	1.1278	160	0.4395	0.8823
0.0655	1.1982	170	0.3843	0.8828
0.0734	1.2687	180	0.3645	0.8823
0.1441	1.3392	190	0.4277	0.8833
0.1176	1.4097	200	0.4040	0.8896
0.0826	1.4802	210	0.3609	0.8870
0.056	1.5507	220	0.3542	0.8891
0.0487	1.6211	230	0.3668	0.8927
0.0815	1.6916	240	0.3735	0.8938
0.0842	1.7621	250	0.3751	0.8943
0.0868	1.8326	260	0.3758	0.8932
0.0743	1.9031	270	0.3753	0.8938
0.0874	1.9736	280	0.3742	0.8948

Framework versions

Transformers 4.43.4
Pytorch 2.1.2+cu121
Datasets 4.4.1
Tokenizers 0.19.1

Type: llama
License: llama3.1
Created: Nov 11, 2025
Updated: Nov 11, 2025