RobertaBaseProcessedDownsampled – AI Model by ImperialIndians23 | AlphaNeural AI

You can deploy this model and start earning money today!

ImperialIndians23/
RobertaBaseProcessedDownsampled

like

0

text-classification

generated_from_trainer

FacebookAI/roberta-base

autotrain_compatible

endpoints_compatible

Views

No views yet

RobertaBaseProcessedDownsampled

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

Loss: 0.2432
Accuracy: 0.8949
F1: 0.5045
Precision: 0.4553
Recall: 0.5657

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: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 8
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: inverse_sqrt
lr_scheduler_warmup_steps: 500
num_epochs: 4

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.474	1.0	297	0.5854	0.6371	0.3214	0.1952	0.9091
0.3652	2.0	595	0.2432	0.8949	0.5045	0.4553	0.5657
0.3958	3.0	893	0.3959	0.8185	0.4663	0.3230	0.8384
0.273	3.99	1188	0.6534	0.7564	0.4056	0.2636	0.8788

Framework versions

Transformers 4.38.2
Pytorch 2.1.2+cu121
Datasets 2.17.1
Tokenizers 0.15.2