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

Name: distilbert-base-multilingual-cased-finetuned-with-spanish-tweets-clf-cleaned-ds
Availability: InStock

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distilbert-base-multilingual-cased-finetuned-with-spanish-tweets-clf-cleaned-ds

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

Loss: 1.5095
Accuracy: 0.5950
F1: 0.5960
Precision: 0.6036
Recall: 0.5949

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
1.018	1.0	543	0.9421	0.5536	0.4949	0.5347	0.5146
0.8079	2.0	1086	0.9275	0.5957	0.5751	0.5921	0.5725
0.521	3.0	1629	1.1208	0.6033	0.6050	0.6146	0.6023
0.3225	4.0	2172	1.5095	0.5950	0.5960	0.6036	0.5949

Framework versions

Transformers 4.26.0
Pytorch 1.13.1
Datasets 2.8.0
Tokenizers 0.13.2

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

distilbert-base-multilingual-cased-finetuned-with-spanish-tweets-clf-cleaned-ds

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

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