deberta-v3-base_3epoch – AI Model by dianamihalache27 | AlphaNeural AI

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dianamihalache27/
deberta-v3-base_3epoch

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text-classification

generated_from_trainer

microsoft/deberta-v3-base

autotrain_compatible

endpoints_compatible

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deberta-v3-base_3epoch

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

Loss: 0.6780
Accuracy: 0.7695
F1: 0.4521
Precision: 0.7097
Recall: 0.3317
Precision Sarcastic: 0.7097
Recall Sarcastic: 0.3317
F1 Sarcastic: 0.4521

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: linear
num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall	Precision Sarcastic	Recall Sarcastic	F1 Sarcastic
No log	1.0	174	0.5894	0.7133	0.0	0.0	0.0	0.0	0.0	0.0
No log	2.0	348	0.5304	0.7579	0.4085	0.6824	0.2915	0.6824	0.2915	0.4085
0.4407	3.0	522	0.6780	0.7695	0.4521	0.7097	0.3317	0.7097	0.3317	0.4521

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.1
Tokenizers 0.19.1