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reward-bert-duplicate-answer-2 – AI Model by bradmin | AlphaNeural AI
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reward-bert-duplicate-answer-2
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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-2
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: 0.4506
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
0.7099
0.26
100
0.6931
1.0
0.6983
0.53
200
0.6912
0.0
0.4911
0.79
300
0.4506
0.0
Framework versions
Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1
