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clasificador-glue – AI Model by macampaz | AlphaNeural AI
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macampaz
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clasificador-glue
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transformers
pytorch
bert
text-classification
classification
generated_from_trainer
tweet_eval
apache-2.0
model-index
autotrain_compatible
endpoints_compatible
us
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clasificador-glue
This model is a fine-tuned version of
bert-base-uncased
on the tweet_eval dataset. It achieves the following results on the evaluation set:
Loss: 1.3017
Accuracy: 0.6837
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
358
0.8826
0.6084
0.6268
2.0
716
0.6036
0.7079
0.3358
3.0
1074
1.3017
0.6837
Framework versions
Transformers 4.30.1
Pytorch 2.0.1+cu118
Datasets 2.12.0
Tokenizers 0.13.3
