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clasif-muchocine-roberta – AI Model by LuisaRomana | AlphaNeural AI
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LuisaRomana
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clasif-muchocine-roberta
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transformers
pytorch
xlm-roberta
text-classification
classification
generated_from_trainer
mit
autotrain_compatible
endpoints_compatible
us
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clasif-muchocine-roberta
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: 1.5146
Accuracy: 0.3394
Model description
This model has been made by someone who does NOT understand coding.
Intended uses & limitations
It was made during training, it should not be used.
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
1.5140
0.3394
1.5524
2.0
776
1.5132
0.3394
1.5336
3.0
1164
1.5146
0.3394
Framework versions
Transformers 4.26.1
Pytorch 1.13.1+cu116
Datasets 2.9.0
Tokenizers 0.13.2
