llama3_8b_general_rm_full

Jennny/llama3_8b_general_rm_full

llama3_8b_general_rm_full is a text classification model from Jennny. Use it when you need a label for a piece of text. It is set up for transformers.

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

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At a glance

Task: Text Classification
Library: transformers
Model type: llama
Access: Public
Created: Dec 5, 2024
Updated: Dec 5, 2024
SHA: 20c42ac2

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Base models

Jennny/llama3_8b_sft_ultrafb

Model card

From the Hugging Face model README

llama3_8b_general_rm_full

This model is a fine-tuned version of Jennny/llama3_8b_sft_ultrafb on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.2676
Accuracy: 0.8858

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: 1e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
distributed_type: multi-GPU
num_devices: 8
gradient_accumulation_steps: 16
total_train_batch_size: 512
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: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.3173	0.1549	50	0.3212	0.8622
0.3037	0.3098	100	0.2959	0.8742
0.2982	0.4647	150	0.3012	0.8735
0.2857	0.6196	200	0.2818	0.8823
0.2773	0.7744	250	0.2716	0.8853
0.2691	0.9293	300	0.2676	0.8858

Framework versions

Transformers 4.45.2
Pytorch 2.5.1+cu124
Datasets 3.1.0
Tokenizers 0.20.3

Task: Text Classification
Library: transformers
Type: llama
Created: Dec 5, 2024
Updated: Dec 5, 2024