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ES_roberta_30 – AI Model by nlp04 | AlphaNeural AI
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nlp04
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ES_roberta_30
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transformers
pytorch
roberta
question-answering
generated_from_trainer
endpoints_compatible
us
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ES_roberta_30
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: 66.6667
F1: 74.9008
Loss: 1.0138
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
0.7813
1.63
500
66.6667
74.9008
1.0138
Framework versions
Transformers 4.25.1
Pytorch 1.13.0+cu117
Datasets 2.7.1
Tokenizers 0.13.2
