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roberta-test-run-20250321_113023 – AI Model by ArturRenzenbrink | AlphaNeural AI
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ArturRenzenbrink
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roberta-test-run-20250321_113023
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pytorch
roberta
generated_from_trainer
FacebookAI/xlm-roberta-base
finetune
mit
us
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roberta-test-run-20250321_113023
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: 5.4235
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: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
6.7766
0.4
10
6.0812
6.1071
0.8
20
5.8136
Framework versions
Transformers 4.32.1
Pytorch 2.1.0+cu121
Datasets 3.4.1
Tokenizers 0.13.3
