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feel_it_finetuned_pro_multimodal_prompt
lupobricco/feel_it_finetuned_pro_multimodal_prompt
feel_it_finetuned_pro_multimodal_prompt is a text classification model from lupobricco. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- camembert
- Access
- Public
- Created
- Apr 4, 2024
- Updated
- Apr 4, 2024
- SHA
- aec24506
Try a prompt
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
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
- Task
- Text Classification
- Library
- transformers
- Type
- camembert
- Created
- Apr 4, 2024
- Updated
- Apr 4, 2024