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xlm-roberta-large-uanews – AI Model by ysapolovych | AlphaNeural AI
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ysapolovych
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xlm-roberta-large-uanews
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transformers
safetensors
xlm-roberta
text-classification
generated_from_trainer
FacebookAI/xlm-roberta-large
finetune
mit
autotrain_compatible
endpoints_compatible
us
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xlm-roberta-large-uanews
This model is a fine-tuned version of
FacebookAI/xlm-roberta-large
on the None dataset. It achieves the following results on the evaluation set:
Loss: 0.1850
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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 500
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
0.2446
1.0
6021
0.3714
0.1991
2.0
12042
0.2127
0.1574
3.0
18063
0.1850
Framework versions
Transformers 4.39.3
Pytorch 2.2.2+cu121
Datasets 2.18.0
Tokenizers 0.15.2
