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lupobricco/
feel_it_finetuned_pro_multilbel_corr_prompt

Name: feel_it_finetuned_pro_multilbel_corr_prompt
Availability: InStock

generated_from_trainer

MilaNLProc/feel-it-italian-emotion

finetune

autotrain_compatible

endpoints_compatible

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feel_it_finetuned_pro_multilbel_corr_prompt

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: 0.2933
F1: 0.3525
Roc Auc: 0.6148
Accuracy: 0.2354

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: 5

Training results

Training Loss	Epoch	Step	Validation Loss	F1	Roc Auc	Accuracy
No log	1.0	146	0.3572	0.0	0.5	0.1254
No log	2.0	292	0.3331	0.0465	0.5109	0.1271
No log	3.0	438	0.3051	0.2798	0.5830	0.2045
0.351	4.0	584	0.2950	0.3059	0.5938	0.2199
0.351	5.0	730	0.2933	0.3525	0.6148	0.2354

Framework versions

Transformers 4.40.1
Pytorch 2.3.0+cu118
Datasets 2.19.0
Tokenizers 0.19.1

lupobricco/feel_it_finetuned_pro_multilbel_corr_prompt

feel_it_finetuned_pro_multilbel_corr_prompt

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

lupobricco/
feel_it_finetuned_pro_multilbel_corr_prompt