metadata
base_model: MilaNLProc/feel-it-italian-emotion
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 MilaNLProc/feel-it-italian-emotion on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.3025
- F1: 0.2543
- Roc Auc: 0.5733
- Accuracy: 0.2464
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 | 35 | 0.4602 | 0.2394 | 0.5743 | 0.1884 |
| No log | 2.0 | 70 | 0.3852 | 0.0 | 0.5 | 0.1087 |
| No log | 3.0 | 105 | 0.3511 | 0.0 | 0.5 | 0.1087 |
| No log | 4.0 | 140 | 0.3328 | 0.0 | 0.5 | 0.1087 |
| No log | 5.0 | 175 | 0.3221 | 0.0 | 0.5 | 0.1087 |
| No log | 6.0 | 210 | 0.3154 | 0.0136 | 0.5034 | 0.1159 |
| No log | 7.0 | 245 | 0.3103 | 0.0789 | 0.5205 | 0.1449 |
| No log | 8.0 | 280 | 0.3064 | 0.1274 | 0.5338 | 0.1739 |
| No log | 9.0 | 315 | 0.3036 | 0.2442 | 0.5699 | 0.2391 |
| No log | 10.0 | 350 | 0.3025 | 0.2543 | 0.5733 | 0.2464 |
Framework versions
- Transformers 4.39.3
- Pytorch 1.11.0
- Datasets 2.18.0
- Tokenizers 0.15.2