it-emotion-analyzer_finetuned_pro_multilbel_emit_correlations – AI Model by lupobricco | AlphaNeural AI

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lupobricco/
it-emotion-analyzer_finetuned_pro_multilbel_emit_correlations

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text-classification

generated_from_trainer

aiknowyou/it-emotion-analyzer

autotrain_compatible

endpoints_compatible

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it-emotion-analyzer_finetuned_pro_multilbel_emit

This model is a fine-tuned version of aiknowyou/it-emotion-analyzer on the None dataset. It achieves the following results on the evaluation set:

Loss: 0.3116
F1: 0.5269
Roc Auc: 0.7253
Accuracy: 0.3643

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: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Roc Auc	Accuracy
0.2723	1.0	1037	0.2654	0.3992	0.6370	0.2801
0.2241	2.0	2074	0.2465	0.4387	0.6603	0.2973
0.1774	3.0	3111	0.2547	0.5066	0.7051	0.3608
0.1435	4.0	4148	0.2627	0.4834	0.6933	0.3333
0.1111	5.0	5185	0.2850	0.4992	0.7052	0.3540
0.0873	6.0	6222	0.3010	0.5112	0.7177	0.3505
0.0699	7.0	7259	0.3116	0.5269	0.7253	0.3643
0.054	8.0	8296	0.3288	0.5223	0.7246	0.3625
0.05	9.0	9333	0.3405	0.5149	0.7223	0.3608
0.0416	10.0	10370	0.3437	0.5196	0.7268	0.3591

Framework versions

Transformers 4.40.1
Pytorch 2.3.0+cu118
Datasets 2.19.0
Tokenizers 0.19.1