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

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

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text-classification

generated_from_trainer

autotrain_compatible

endpoints_compatible

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

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: 1.1229
Accuracy: 0.5556
F1: 0.5578
Precision: 0.5682
Recall: 0.5540

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
1.0683	1.0	543	1.0019	0.4997	0.4041	0.4724	0.4488
0.9372	2.0	1086	0.9395	0.5425	0.5143	0.5480	0.5123
0.7283	3.0	1629	0.9674	0.5632	0.5615	0.5658	0.5587
0.5127	4.0	2172	1.1229	0.5556	0.5578	0.5682	0.5540

Framework versions

Transformers 4.26.0
Pytorch 1.13.1
Datasets 2.8.0
Tokenizers 0.13.2