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distilbert-base-multilingual-cased-finetuned-MeIA-AnalisisDeSentimientos – AI Model by emiliam | AlphaNeural AI
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emiliam
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distilbert-base-multilingual-cased-finetuned-MeIA-AnalisisDeSentimientos
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transformers
pytorch
tensorboard
distilbert
text-classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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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: 1.0684
F1: 0.5358
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: 10
eval_batch_size: 10
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
F1
1.2146
1.0
613
1.1129
0.5051
1.0239
2.0
1226
1.0541
0.5319
0.8061
3.0
1839
1.0684
0.5358
Framework versions
Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3
