temp_model_output_dir – AI Model by C-Stuti | AlphaNeural AI

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C-Stuti/
temp_model_output_dir

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text-classification

generated_from_trainer

FacebookAI/roberta-base

autotrain_compatible

endpoints_compatible

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temp_model_output_dir

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

Loss: 0.7204
Precision: 0.8552
Recall: 0.8448
F1: 0.8399
Accuracy: 0.8448

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: 8.8e-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: cosine
lr_scheduler_warmup_ratio: 0.2
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Precision	Recall	F1	Accuracy
1.209	1.0	756	0.7528	0.8238	0.8130	0.8013	0.8130
0.7337	2.0	1512	0.7899	0.8209	0.8031	0.7952	0.8031
0.644	3.0	2268	0.7417	0.8394	0.8299	0.8238	0.8299
0.4777	4.0	3024	0.7204	0.8552	0.8448	0.8399	0.8448

Framework versions

Transformers 4.36.2
Pytorch 2.0.0
Datasets 2.1.0
Tokenizers 0.15.0