deberta-v3-base-isarcasm – AI Model by w11wo | AlphaNeural AI

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w11wo/
deberta-v3-base-isarcasm

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text-classification

generated_from_trainer

microsoft/deberta-v3-base

autotrain_compatible

endpoints_compatible

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deberta-v3-base-isarcasm

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

Loss: 1.3693
Accuracy: 0.8331
F1: 0.4789
Precision: 0.5354
Recall: 0.4331

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: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
No log	1.0	215	0.7833	0.8	0.0	0.0	0.0
No log	2.0	430	1.1913	0.8	0.0	0.0	0.0
0.577	3.0	645	1.5866	0.7714	0.2	0.25	0.1667
0.577	4.0	860	2.3199	0.8	0.2222	0.3333	0.1667
0.2047	5.0	1075	2.4911	0.8	0.2222	0.3333	0.1667

Framework versions

Transformers 4.32.0
Pytorch 2.1.1+cu121
Datasets 2.14.5
Tokenizers 0.13.3