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distilbert-base-multilingual-cased-finetuned-MeIA-AnalisisDeSentimientos-ACMe – AI Model by johacbeg | AlphaNeural AI
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johacbeg
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distilbert-base-multilingual-cased-finetuned-MeIA-AnalisisDeSentimientos-ACMe
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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-ACMe
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: 1.1261
F1: 0.5484
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: 5
eval_batch_size: 5
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
1.0807
1.0
2450
1.0517
0.5104
0.9141
2.0
4900
1.0769
0.5337
0.7355
3.0
7350
1.1261
0.5484
Framework versions
Transformers 4.28.0
Pytorch 2.0.1+cu118
Datasets 2.13.1
Tokenizers 0.13.3
