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xlm-roberta-base-finetuned-squad-v2 – AI Model by mikii17 | AlphaNeural AI
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mikii17
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xlm-roberta-base-finetuned-squad-v2
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transformers
safetensors
xlm-roberta
question-answering
generated_from_trainer
FacebookAI/xlm-roberta-base
finetune
mit
endpoints_compatible
us
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xlm-roberta-base-finetuned-squad-v2
This model is a fine-tuned version of
xlm-roberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.2969
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 with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
2.3967
1.0
10963
2.4230
2.1873
2.0
21926
2.2873
1.915
3.0
32889
2.2969
Framework versions
Transformers 4.48.1
Pytorch 2.5.1+cu118
Datasets 3.2.0
Tokenizers 0.21.0
