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xlm-roberta-base-finetuned-Gemma3_em_sim_gt_0.8 – AI Model by Z-Jafari | AlphaNeural AI
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Z-Jafari
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xlm-roberta-base-finetuned-Gemma3_em_sim_gt_0.8
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transformers
tensorboard
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-Gemma3_em_sim_bt_0.8
This model is a fine-tuned version of
FacebookAI/xlm-roberta-base
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.0166
{'exact_match': 44.6, 'f1': 52.829245695824646}
{'exact_match': 45.5, 'f1': 53.73161413148257}
{'exact_match': 47.0, 'f1': 54.52761308866571}
{'exact_match': 45.9, 'f1': 53.65471754853335}
avg = {'exact_match': 45.75, 'f1': approximately 53.69}
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: 16
eval_batch_size: 16
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: 3
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Validation Loss
No log
1.0
287
2.3338
2.1413
2.0
574
2.1127
2.1413
3.0
861
2.0166
Framework versions
Transformers 4.57.3
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1
