deberta-v3-large_test_9e-6 – AI Model by edwardyeung04 | AlphaNeural AI

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edwardyeung04/
deberta-v3-large_test_9e-6

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microsoft/deberta-v3-large

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deberta-v3-large_test_9e-6

This model is a fine-tuned version of microsoft/deberta-v3-large on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 1.1640
Accuracy: 0.794

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 7

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	310	0.6535	0.772
0.6202	2.0	620	0.6425	0.798
0.6202	3.0	930	0.7958	0.782
0.1527	4.0	1240	1.0140	0.796
0.0448	5.0	1550	1.0381	0.796
0.0448	6.0	1860	1.1083	0.798
0.017	7.0	2170	1.1640	0.794

Framework versions

Transformers 4.38.1
Pytorch 2.1.0+cu121
Datasets 2.18.0
Tokenizers 0.15.2