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lupobricco/
feel_it_finetuned_pro_emit_correlations

Name: feel_it_finetuned_pro_emit_correlations
Availability: InStock

generated_from_trainer

MilaNLProc/feel-it-italian-emotion

finetune

autotrain_compatible

endpoints_compatible

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feel_it_finetuned_pro_emit_correlations

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

Loss: 0.3005
F1: 0.5002
Roc Auc: 0.7167
Accuracy: 0.3694

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
0.2944	1.0	1037	0.2895	0.1684	0.5606	0.2405
0.2401	2.0	2074	0.2542	0.3335	0.6308	0.3076
0.2002	3.0	3111	0.2546	0.4265	0.6784	0.3265
0.1709	4.0	4148	0.2484	0.4716	0.6899	0.3677
0.1454	5.0	5185	0.2608	0.4828	0.6997	0.3677
0.1225	6.0	6222	0.2755	0.4793	0.6990	0.3574
0.1092	7.0	7259	0.2882	0.4895	0.7062	0.3574
0.0963	8.0	8296	0.2908	0.4903	0.7058	0.3746
0.0879	9.0	9333	0.3005	0.5002	0.7167	0.3694
0.076	10.0	10370	0.3036	0.4948	0.7128	0.3677

Framework versions

Transformers 4.40.1
Pytorch 2.3.0+cu118
Datasets 2.19.0
Tokenizers 0.19.1

lupobricco/feel_it_finetuned_pro_emit_correlations

feel_it_finetuned_pro_emit_correlations

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

lupobricco/
feel_it_finetuned_pro_emit_correlations