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metadata
base_model: MilaNLProc/feel-it-italian-emotion
tags:
  - generated_from_trainer
metrics:
  - f1
  - accuracy
model-index:
  - name: feel_it_finetuned_pro_multimodal_no_prompt
    results: []

feel_it_finetuned_pro_multimodal_no_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: 0.5325
  • F1: 0.255
  • Roc Auc: 0.5849
  • Accuracy: 0.0

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 24 0.5325 0.255 0.5849 0.0
No log 2.0 48 0.4602 0.0 0.5 0.1031
No log 3.0 72 0.4314 0.0 0.5 0.1031
No log 4.0 96 0.4175 0.0 0.5 0.1031
No log 5.0 120 0.4131 0.0 0.5 0.1031

Framework versions

  • Transformers 4.38.2
  • Pytorch 2.0.0+cu118
  • Datasets 2.18.0
  • Tokenizers 0.15.2