non_green_as_train_context_roberta-large – AI Model by kghanlon | AlphaNeural AI

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kghanlon/
non_green_as_train_context_roberta-large

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text-classification

generated_from_trainer

FacebookAI/roberta-large

autotrain_compatible

endpoints_compatible

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non_green_as_train_context_roberta-large

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

Loss: 0.1773
Accuracy: 0.9776
Recall: 0.6993
F1: 0.7021

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: 16
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Recall	F1
0.0584	1.0	7739	0.0916	0.9725	0.6942	0.6562
0.0451	2.0	15478	0.0905	0.9773	0.6700	0.6902
0.0296	3.0	23217	0.1112	0.9775	0.6912	0.6986
0.0141	4.0	30956	0.1487	0.9759	0.7366	0.6979
0.0102	5.0	38695	0.1773	0.9776	0.6993	0.7021

Framework versions

Transformers 4.38.2
Pytorch 2.1.2
Datasets 2.18.0
Tokenizers 0.15.2