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clasificador-tomatoes – AI Model by laamaai | AlphaNeural AI
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laamaai
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clasificador-tomatoes
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transformers
pytorch
electra
text-classification
classification
generated_from_trainer
autotrain_compatible
endpoints_compatible
us
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clasificador-tomatoes
This model is a fine-tuned version of
mrm8488/electricidad-base-discriminator
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.7090
Accuracy: 0.7450
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
0.6906
1.0
853
0.6964
0.6231
0.5222
2.0
1706
0.5627
0.7345
0.3525
3.0
2559
0.7090
0.7450
Framework versions
Transformers 4.26.0
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2
