deberta-v3-large__sst2__train-16-3 – AI Model by SetFit | AlphaNeural AI

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SetFit/
deberta-v3-largesst2train-16-3

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text-classification

generated_from_trainer

microsoft/deberta-v3-large

autotrain_compatible

endpoints_compatible

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deberta-v3-largesst2train-16-3

This model is a fine-tuned version of microsoft/deberta-v3-large on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.6286
Accuracy: 0.7068

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: 2e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 50
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.6955	1.0	7	0.7370	0.2857
0.6919	2.0	14	0.6855	0.4286
0.6347	3.0	21	0.5872	0.7143
0.4016	4.0	28	0.6644	0.7143
0.3097	5.0	35	0.5120	0.7143
0.0785	6.0	42	0.5845	0.7143
0.024	7.0	49	0.6951	0.7143
0.0132	8.0	56	0.8972	0.7143
0.0037	9.0	63	1.5798	0.7143
0.0034	10.0	70	1.5178	0.7143
0.003	11.0	77	1.3511	0.7143
0.0012	12.0	84	1.1346	0.7143
0.0007	13.0	91	0.9752	0.7143
0.0008	14.0	98	0.8531	0.7143
0.0007	15.0	105	0.8149	0.7143

Framework versions

Transformers 4.15.0
Pytorch 1.10.2+cu102
Datasets 1.18.2
Tokenizers 0.10.3