metadata
base_model: lupobricco/feel_it_finetuned_pro_emit_multilabel2
tags:
- generated_from_trainer
metrics:
- f1
- accuracy
model-index:
- name: multilabel_emotion_classification_finetuned_multimodal
results: []
multilabel_emotion_classification_finetuned_multimodal
This model is a fine-tuned version of lupobricco/feel_it_finetuned_pro_emit_multilabel2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2439
- F1: 0.5642
- Roc Auc: 0.7425
- Accuracy: 0.4087
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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy |
|---|---|---|---|---|---|---|
| No log | 1.0 | 22 | 0.2472 | 0.4520 | 0.6658 | 0.3391 |
| No log | 2.0 | 44 | 0.2445 | 0.4927 | 0.6909 | 0.3507 |
| No log | 3.0 | 66 | 0.2439 | 0.5 | 0.6941 | 0.3594 |
| No log | 4.0 | 88 | 0.2436 | 0.5297 | 0.7209 | 0.3652 |
| No log | 5.0 | 110 | 0.2424 | 0.5400 | 0.7313 | 0.3710 |
| No log | 6.0 | 132 | 0.2409 | 0.5450 | 0.7276 | 0.3768 |
| No log | 7.0 | 154 | 0.2432 | 0.5286 | 0.7191 | 0.3652 |
| No log | 8.0 | 176 | 0.2433 | 0.5501 | 0.7336 | 0.3942 |
| No log | 9.0 | 198 | 0.2439 | 0.5642 | 0.7425 | 0.4087 |
| No log | 10.0 | 220 | 0.2434 | 0.5594 | 0.7406 | 0.4029 |
Framework versions
- Transformers 4.39.3
- Pytorch 1.11.0
- Datasets 2.18.0
- Tokenizers 0.15.2