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xlm-roberta-base-finetuned – AI Model by nuttakitinta | AlphaNeural AI
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xlm-roberta-base-finetuned
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transformers
safetensors
xlm-roberta
fill-mask
generated_from_trainer
FacebookAI/xlm-roberta-base
finetune
mit
autotrain_compatible
endpoints_compatible
us
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xlm-roberta-base-finetuned
This model is a fine-tuned version of
FacebookAI/xlm-roberta-base
on the None dataset. It achieves the following results on the evaluation set:
Loss: 1.1608
Model Preparation Time: 0.0054
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: 2e-05
train_batch_size: 32
eval_batch_size: 32
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
num_epochs: 5
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
Model Preparation Time
1.5318
1.0
7079
1.3185
0.0054
1.3738
2.0
14158
1.2422
0.0054
1.3072
3.0
21237
1.1961
0.0054
1.2646
4.0
28316
1.1606
0.0054
1.2402
5.0
35395
1.1563
0.0054
Framework versions
Transformers 4.49.0
Pytorch 2.1.0+cu118
Datasets 3.3.2
Tokenizers 0.21.0
