finetuning-sentiment-model-hw6 – AI Model by anosognosie | AlphaNeural AI

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anosognosie/
finetuning-sentiment-model-hw6

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text-classification

generated_from_trainer

anosognosie/finetuning-sentiment-model-hw6

autotrain_compatible

endpoints_compatible

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finetuning-sentiment-model-hw6

This model is a fine-tuned version of anosognosie/finetuning-sentiment-model-hw6 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.2834
Accuracy: 0.9011
F1: 0.9029
Precision: 0.8900
Recall: 0.9162

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: 1.4389871736134423e-06
train_batch_size: 16
eval_batch_size: 4
seed: 14
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1	Precision	Recall
0.1944	1.0	2480	0.2834	0.9011	0.9029	0.8900	0.9162
0.1823	2.0	4960	0.2879	0.9027	0.9047	0.8897	0.9202
0.1653	3.0	7440	0.2914	0.9048	0.9064	0.8949	0.9182
0.1451	4.0	9920	0.3039	0.9050	0.9066	0.8954	0.9180
0.1633	5.0	12400	0.3038	0.9051	0.9067	0.8952	0.9184

Framework versions

Transformers 4.35.2
Pytorch 2.1.0+cu118
Datasets 2.15.0
Tokenizers 0.15.0