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xlm-roberta-large-with-concat-mac – AI Model by sytnaxerror | AlphaNeural AI

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sytnaxerror/
xlm-roberta-large-with-concat-mac

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text-classification

generated_from_trainer

text-embeddings-inference

endpoints_compatible

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xlm-roberta-large-with-concat-mac

This model was trained from scratch on the None dataset.

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: 24
eval_batch_size: 24
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 96
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3

Framework versions

Transformers 5.4.0
Pytorch 2.12.0.dev20260331
Datasets 4.8.4
Tokenizers 0.22.2