roberta-large-1-second – AI Model by Adammz | AlphaNeural AI

You can deploy this model and start earning money today!

Adammz/
roberta-large-1-second

like

0

generated_from_trainer

FacebookAI/roberta-large

Views

No views yet

roberta-large-1-second

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

Loss: 0.9356
Accuracy: 0.7715

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-05
train_batch_size: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.7871	1.0	769	1.6188	0.6694
1.5364	2.0	1538	1.4230	0.6828
1.4249	3.0	2307	1.3059	0.7067
1.336	4.0	3076	1.1884	0.7290
1.2366	5.0	3845	1.1214	0.74
1.1394	6.0	4614	1.0214	0.7601
1.0744	7.0	5383	0.9801	0.7664
1.0196	8.0	6152	0.9696	0.7646
0.9896	9.0	6921	0.9356	0.7715
0.9754	10.0	7690	0.9357	0.7704

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu121
Datasets 2.16.0
Tokenizers 0.15.0