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MRC_ER_InfoXLM-large_syl_ViWikiFC – AI Model by tringuyen-uit | AlphaNeural AI
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MRC_ER_InfoXLM-large_syl_ViWikiFC
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transformers
tensorboard
safetensors
xlm-roberta
question-answering
generated_from_trainer
tringuyen-uit/MRC_ER_InfoXLM-large_syl_ViWikiFC
finetune
endpoints_compatible
us
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MRC_ER_InfoXLM-large_syl_ViWikiFC
This model is a fine-tuned version of
tringuyen-uit/MRC_ER_InfoXLM-large_syl_ViWikiFC
on the None dataset. It achieves the following results on the evaluation set:
Loss: 3.0554
Exact Match: 0.8014
F1: 0.8226
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: 2
eval_batch_size: 2
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 2
Training results
Training Loss
Epoch
Step
Validation Loss
Exact Match
F1
0.4434
1.0
8369
2.8731
0.7904
0.8126
0.2108
2.0
16738
3.0554
0.8014
0.8226
Framework versions
Transformers 4.44.2
Pytorch 2.4.0
Datasets 2.21.0
Tokenizers 0.19.1
