roberta-finetuned-inspirational – AI Model by mjaydenkim | AlphaNeural AI

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mjaydenkim/
roberta-finetuned-inspirational

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text-classification

generated_from_trainer

FacebookAI/xlm-roberta-base

autotrain_compatible

endpoints_compatible

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roberta-finetuned-inspirational

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

Loss: 0.2116
F1: 0.9398
Roc Auc: 0.9398
Accuracy: 0.8394

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: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Roc Auc	Accuracy
0.3126	1.0	621	0.1732	0.9266	0.9267	0.7905
0.177	2.0	1242	0.1861	0.9229	0.9230	0.7865
0.127	3.0	1863	0.2499	0.9228	0.9228	0.7915
0.0906	4.0	2484	0.2306	0.9355	0.9355	0.8228
0.045	5.0	3105	0.2444	0.9332	0.9332	0.8197

Framework versions

Transformers 4.52.4
Pytorch 2.7.0+xpu
Datasets 3.6.0
Tokenizers 0.21.1