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clasificador-poem-sentiment – AI Model by cedomin | AlphaNeural AI
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cedomin
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clasificador-poem-sentiment
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transformers
pytorch
distilbert
text-classification
classification
generated_from_trainer
apache-2.0
autotrain_compatible
endpoints_compatible
us
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clasificador-poem-sentiment
This model is a fine-tuned version of
distilbert-base-uncased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.7448
Accuracy: 0.6286
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: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
No log
1.0
18
0.6907
0.5429
No log
2.0
36
0.7065
0.6
No log
3.0
54
0.7448
0.6286
Framework versions
Transformers 4.27.3
Pytorch 1.13.1+cu116
Datasets 2.10.1
Tokenizers 0.13.2
