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--- |
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base_model: lupobricco/feel_it_finetuned_pro_emit_multilabel2 |
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tags: |
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- generated_from_trainer |
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metrics: |
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- f1 |
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- accuracy |
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model-index: |
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- name: feel_it_finetuned_pro_multimodal_no_prompt |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# feel_it_finetuned_pro_multimodal_no_prompt |
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This model is a fine-tuned version of [lupobricco/feel_it_finetuned_pro_emit_multilabel2](https://huggingface.co/lupobricco/feel_it_finetuned_pro_emit_multilabel2) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.2571 |
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- F1: 0.4585 |
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- Roc Auc: 0.6817 |
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- Accuracy: 0.2887 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 2e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | F1 | Roc Auc | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:| |
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| No log | 1.0 | 24 | 0.2654 | 0.4199 | 0.6506 | 0.2577 | |
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| No log | 2.0 | 48 | 0.2597 | 0.4498 | 0.6794 | 0.2474 | |
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| No log | 3.0 | 72 | 0.2571 | 0.4585 | 0.6817 | 0.2887 | |
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| No log | 4.0 | 96 | 0.2592 | 0.4486 | 0.6815 | 0.2474 | |
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| No log | 5.0 | 120 | 0.2561 | 0.4455 | 0.6782 | 0.2680 | |
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### Framework versions |
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- Transformers 4.38.2 |
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- Pytorch 2.0.0+cu118 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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