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xlmroberta-multirc – AI Model by Areepatw | AlphaNeural AI
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Areepatw
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xlmroberta-multirc
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transformers
safetensors
xlm-roberta
text-classification
generated_from_trainer
super_glue
FacebookAI/xlm-roberta-base
finetune
mit
model-index
autotrain_compatible
endpoints_compatible
us
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xlmroberta-multirc
This model is a fine-tuned version of
xlm-roberta-base
on the super_glue dataset. It achieves the following results on the evaluation set:
Loss: 0.6823
Accuracy: 0.5720
F1: 0.4163
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: 1e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
F1
0.6873
1.0
1703
0.6823
0.5720
0.4163
Framework versions
Transformers 4.46.2
Pytorch 2.5.1+cu121
Datasets 3.1.0
Tokenizers 0.20.3
