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xlm-roberta-base-finetuned-imdb – AI Model by nzw2cp | AlphaNeural AI
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xlm-roberta-base-finetuned-imdb
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transformers
safetensors
xlm-roberta
fill-mask
generated_from_trainer
FacebookAI/xlm-roberta-base
finetune
mit
endpoints_compatible
us
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xlm-roberta-base-finetuned-imdb
This model is a fine-tuned version of
xlm-roberta-base
on the None dataset. It achieves the following results on the evaluation set:
eval_loss: 2.9754
eval_runtime: 7.1939
eval_samples_per_second: 33.778
eval_steps_per_second: 4.309
epoch: 24.0
step: 2928
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: 8
eval_batch_size: 8
seed: 42
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: 50
mixed_precision_training: Native AMP
Framework versions
Transformers 5.3.0
Pytorch 2.10.0+cu126
Datasets 4.6.1
Tokenizers 0.22.2
