feel_it_finetuned_pro_multimodal_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: 0.2510
- F1: 0.5070
- Roc Auc: 0.7091
- Accuracy: 0.3093
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 | 0.2633 | 0.3392 | 0.6103 | 0.2268 |
No log | 2.0 | 48 | 0.2534 | 0.5022 | 0.7131 | 0.2784 |
No log | 3.0 | 72 | 0.2481 | 0.5069 | 0.7116 | 0.2577 |
No log | 4.0 | 96 | 0.2484 | 0.5025 | 0.7001 | 0.2887 |
No log | 5.0 | 120 | 0.2510 | 0.5070 | 0.7091 | 0.3093 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.0.0+cu118
- Datasets 2.18.0
- Tokenizers 0.15.2
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