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deberta-v3-base_3epoch2 – AI Model by dianamihalache27 | AlphaNeural AI

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dianamihalache27/
deberta-v3-base_3epoch2

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text-classification

generated_from_trainer

microsoft/deberta-v3-base

autotrain_compatible

endpoints_compatible

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deberta-v3-base_3epoch2

This model is a fine-tuned version of microsoft/deberta-v3-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.1539
Accuracy: 0.7378
F1: 0.5054
Precision: 0.5503
Recall: 0.4673
Precision Sarcastic: 0.5503
Recall Sarcastic: 0.4673
F1 Sarcastic: 0.5054

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: 5e-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: linear
num_epochs: 2

Training results

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1