metadata
base_model: lupobricco/feel_it_finetuned_pro_emit_multilabel2
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 lupobricco/feel_it_finetuned_pro_emit_multilabel2 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2571
- F1: 0.4585
- Roc Auc: 0.6817
- Accuracy: 0.2887
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 | 0.2654 | 0.4199 | 0.6506 | 0.2577 |
| No log | 2.0 | 48 | 0.2597 | 0.4498 | 0.6794 | 0.2474 |
| No log | 3.0 | 72 | 0.2571 | 0.4585 | 0.6817 | 0.2887 |
| No log | 4.0 | 96 | 0.2592 | 0.4486 | 0.6815 | 0.2474 |
| No log | 5.0 | 120 | 0.2561 | 0.4455 | 0.6782 | 0.2680 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.0.0+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2