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Sentimiento-appmovilesXLM – AI Model by misaza | AlphaNeural AI
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misaza
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Sentimiento-appmovilesXLM
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transformers
safetensors
xlm-roberta
text-classification
generated_from_trainer
cardiffnlp/twitter-xlm-roberta-base-sentiment
finetune
autotrain_compatible
endpoints_compatible
us
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Sentimiento-appmovilesXLM
This model is a fine-tuned version of
cardiffnlp/twitter-xlm-roberta-base-sentiment
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.2940
Accuracy: 0.9337
F1: 0.8559
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: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
No log
1.0
332
0.2940
0.9337
0.8559
0.3386
2.0
664
0.3005
0.9307
0.8290
Framework versions
Transformers 4.40.1
Pytorch 2.2.1+cu121
Datasets 2.19.1
Tokenizers 0.19.1
