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MRC_ER_vit5-large_syl_ViWikiFC – AI Model by tringuyen-uit | AlphaNeural AI
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MRC_ER_vit5-large_syl_ViWikiFC
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transformers
safetensors
t5
question-answering
generated_from_trainer
tringuyen-uit/MRC_ER_vit5-large_syl_ViWikiFC
finetune
text-generation-inference
endpoints_compatible
us
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MRC_ER_vit5-large_syl_ViWikiFC
This model is a fine-tuned version of
tringuyen-uit/MRC_ER_vit5-large_syl_ViWikiFC
on the None dataset. It achieves the following results on the evaluation set:
Loss: 3.5576
Exact Match: 0.8024
F1: 0.8241
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: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Exact Match
F1
0.3388
1.0
8369
2.1133
0.7995
0.8224
0.3827
2.0
16738
2.3313
0.8029
0.8255
0.0881
3.0
25107
3.5576
0.8024
0.8241
Framework versions
Transformers 4.41.2
Pytorch 2.2.1
Datasets 2.19.2
Tokenizers 0.19.1
