roberta-base-finetuned-nlp-letters-TEXT-all-class-weighted – AI Model by ben-yu | AlphaNeural AI

You can deploy this model and start earning money today!

ben-yu/
roberta-base-finetuned-nlp-letters-TEXT-all-class-weighted

like

0

text-classification

generated_from_trainer

FacebookAI/roberta-base

autotrain_compatible

endpoints_compatible

Views

No views yet

roberta-base-finetuned-nlp-letters-TEXT-all-class-weighted

This model is a fine-tuned version of roberta-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.7120
F1: 0.7740

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: 5e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	F1
No log	1.0	221	0.4726	0.4302
No log	2.0	442	0.4392	0.4995
0.4877	3.0	663	0.3867	0.4836
0.4877	4.0	884	0.5359	0.6492
0.4029	5.0	1105	0.4401	0.6013
0.4029	6.0	1326	0.4508	0.7301
0.3208	7.0	1547	0.7120	0.7740
0.3208	8.0	1768	1.0509	0.7690
0.3208	9.0	1989	1.5755	0.7444
0.2085	10.0	2210	1.8282	0.7580

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1