lupobricco
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End of training
Browse files
README.md
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base_model:
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tags:
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- generated_from_trainer
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metrics:
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# feel_it_finetuned_pro_multimodal_no_prompt
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This model is a fine-tuned version of [
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- F1: 0.
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- Roc Auc: 0.
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- Accuracy: 0.
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## Model description
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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.
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| No log | 2.0 | 48 | 0.
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| No log | 3.0 | 72 | 0.
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| No log | 4.0 | 96 | 0.
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| No log | 5.0 | 120 | 0.
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### Framework versions
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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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# 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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| 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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model.safetensors
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