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reward-bert-duplicate-answer-300 – AI Model by bradmin | AlphaNeural AI
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reward-bert-duplicate-answer-300
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transformers
tensorboard
safetensors
roberta
text-classification
generated_from_trainer
klue/roberta-large
finetune
autotrain_compatible
endpoints_compatible
us
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reward-bert-duplicate-answer-300
This model is a fine-tuned version of
klue/roberta-large
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2419
Accuracy: 0.0
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: 9e-05
train_batch_size: 6
eval_batch_size: 6
seed: 2023
gradient_accumulation_steps: 10
total_train_batch_size: 60
optimizer: Adam with betas=(0.9,0.95) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.5015
0.17
100
0.5284
0.0
0.4259
0.34
200
0.3848
0.0
0.3808
0.51
300
0.2962
0.0
0.3328
0.69
400
0.2592
0.0
0.2086
0.86
500
0.2419
0.0
Framework versions
Transformers 4.35.2
Pytorch 2.1.1+cu118
Datasets 2.15.0
Tokenizers 0.15.0
