distilbert-base-uncased-finetuned-with-spanish-tweets-clf – AI Model by francisco-perez-sorrosal | AlphaNeural AI

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francisco-perez-sorrosal/
distilbert-base-uncased-finetuned-with-spanish-tweets-clf

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text-classification

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autotrain_compatible

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distilbert-base-uncased-finetuned-with-spanish-tweets-clf

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

Loss: 1.0580
Accuracy: 0.5701
F1: 0.5652
Precision: 0.5666
Recall: 0.5642

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: 8
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
1.0643	1.0	543	1.0457	0.4423	0.2761	0.5104	0.3712
0.9754	2.0	1086	0.9700	0.5155	0.4574	0.5190	0.4712
0.8145	3.0	1629	0.9691	0.5556	0.5544	0.5616	0.5506
0.6318	4.0	2172	1.0580	0.5701	0.5652	0.5666	0.5642

Framework versions

Transformers 4.26.0
Pytorch 1.13.1
Datasets 2.8.0
Tokenizers 0.13.2