roberta-finetuned-inspirational – AI Model by reecursion123 | AlphaNeural AI

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reecursion123/
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: 0.1617
F1: 0.9683
Roc Auc: 0.9622
Accuracy: 0.9125

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Roc Auc	Accuracy
0.312	1.0	600	0.2784	0.9053	0.8878	0.7333
0.1656	2.0	1200	0.1670	0.9468	0.9348	0.8542
0.0967	3.0	1800	0.1803	0.9585	0.9504	0.8865
0.0685	4.0	2400	0.1694	0.9639	0.9568	0.9021
0.0286	5.0	3000	0.1617	0.9683	0.9622	0.9125

Framework versions

Transformers 4.39.3
Pytorch 2.2.1+cu121
Datasets 2.18.0
Tokenizers 0.15.2