reward-bert-duplicate-answer – AI Model by bradmin | AlphaNeural AI | AlphaNeural AI

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bradmin/
reward-bert-duplicate-answer

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text-classification

generated_from_trainer

klue/roberta-large

autotrain_compatible

endpoints_compatible

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reward-bert-duplicate-answer

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: 0.0604
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-06
train_batch_size: 4
eval_batch_size: 4
seed: 2023
gradient_accumulation_steps: 8
total_train_batch_size: 32
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
0.2202	0.13	100	0.0750	0.0
0.1527	0.25	200	0.0377	0.0
0.1483	0.38	300	0.0729	0.0
0.1896	0.5	400	0.1465	0.0
0.1341	0.63	500	0.0729	0.0
0.0876	0.75	600	0.0351	0.0
0.1345	0.88	700	0.0604	0.0

Framework versions

Transformers 4.35.0
Pytorch 2.1.0+cu118
Datasets 2.14.6
Tokenizers 0.14.1