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ES_roberta_30_prepro – AI Model by nlp04 | AlphaNeural AI
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ES_roberta_30_prepro
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transformers
pytorch
roberta
question-answering
generated_from_trainer
endpoints_compatible
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ES_roberta_30_prepro
This model is a fine-tuned version of
klue/roberta-large
on the None dataset. It achieves the following results on the evaluation set:
Exact Match: 26.25
F1: 36.0319
Loss: 1.2394
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: 3e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 256
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 3.0
mixed_precision_training: Native AMP
Training results
Training Loss
Epoch
Step
Exact Match
F1
Validation Loss
No log
1.0
305
22.9167
34.1584
1.0608
0.7921
2.0
610
25.0
35.1179
1.0869
0.7921
3.0
915
26.25
36.0319
1.2394
Framework versions
Transformers 4.25.1
Pytorch 1.13.0+cu117
Datasets 2.7.1
Tokenizers 0.13.2
