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clasificador-muchocine – AI Model by LuisaRomana | AlphaNeural AI
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LuisaRomana
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clasificador-muchocine
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transformers
pytorch
xlm-roberta
text-classification
classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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clasificador-muchocine
This model is a fine-tuned version of
xlm-roberta-large
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.5297
Accuracy: 0.3239
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
388
1.5268
0.3239
1.5534
2.0
776
1.5263
0.3239
1.5313
3.0
1164
1.5297
0.3239
Framework versions
Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2
