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Jumartineze/distilbert-base-multilingual-cased-finetuned-MeIA-AnalisisDeSentimientos · Pirate Face

Jumartineze/distilbert-base-multilingual-cased-finetuned-MeIA-AnalisisDeSentimientos

Source: 🤗At risk🏴‍☠️ Rescued by: isilicontext-classificationapache-2.0545 MBother✓ 7 checksumsupdated 1,237d ago

distilbert-base-multilingual-cased-finetuned-MeIA-AnalisisDeSentimientos

This model is a fine-tuned version of distilbert-base-multilingual-cased on the None dataset. It achieves the following results on the evaluation set:

Loss: 1.0252
F1: 0.5395

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: 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

Training Loss	Epoch	Step	Validation Loss	F1
1.0599	1.0	766	1.0518	0.5080
0.9391	2.0	1532	1.0252	0.5395

Framework versions

Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3

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