roBERTa – AI Model by Daniel-xue | AlphaNeural AI

You can deploy this model and start earning money today!

Daniel-xue/
roBERTa

like

0

text-classification

generated_from_trainer

FacebookAI/roberta-base

autotrain_compatible

endpoints_compatible

Views

No views yet

roBERTa

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

Loss: 0.7581
Accuracy: 0.8307

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: 3e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 15750
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.5914	1.0	5250	0.9909	0.5628
0.5792	2.0	10500	0.9334	0.7436
0.5905	3.0	15750	0.5907	0.9454
0.6576	4.0	21000	1.2153	0.5174
0.5898	5.0	26250	0.6647	0.7933
0.5896	6.0	31500	0.7914	0.8132
0.6578	7.0	36750	0.6739	0.3249
0.5846	8.0	42000	0.6237	0.8294
0.549	9.0	47250	0.7103	0.8514
0.5497	10.0	52500	0.7581	0.8307

Framework versions

Transformers 4.37.0
Pytorch 2.1.2
Datasets 2.1.0
Tokenizers 0.15.1