UNEDMediaBiasTeam_at_SemEval23_Task3_Subtask1_PRE_BABE_dataset – AI Model by franfj | AlphaNeural AI

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UNEDMediaBiasTeam_at_SemEval23_Task3_Subtask1_PRE_BABE_dataset

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text-classification

generated_from_trainer

distilbert/distilbert-base-uncased-finetuned-sst-2-english

autotrain_compatible

endpoints_compatible

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semeval23-t3-st1-en-babe-distilbert-base-uncased-finetuned-sst-2-english

This model is a fine-tuned version of distilbert-base-uncased-finetuned-sst-2-english on the None dataset. It achieves the following results on the evaluation set:

Loss: 3.5298
F1: 0.4120

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: 64
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	F1
No log	1.0	22	3.4120	0.3965
No log	2.0	44	3.4436	0.3834
No log	3.0	66	3.5298	0.4120
No log	4.0	88	3.5558	0.4018
No log	5.0	110	3.6086	0.4002

Framework versions

Transformers 4.25.1
Pytorch 1.13.1
Datasets 2.8.0
Tokenizers 0.13.2