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feel_it_finetuned_pro_multimodal_no_prompt

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  1. README.md +11 -11
  2. model.safetensors +1 -1
  3. runs/Apr04_10-18-38_LAPTOP-R8S99065/events.out.tfevents.1712218722.LAPTOP-R8S99065.16996.0 +2 -2
  4. runs/Apr04_10-18-38_LAPTOP-R8S99065/events.out.tfevents.1712218957.LAPTOP-R8S99065.16996.1 +3 -0
README.md CHANGED
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  ---
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- base_model: MilaNLProc/feel-it-italian-emotion
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  tags:
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  - generated_from_trainer
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  metrics:
@@ -15,12 +15,12 @@ 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 [MilaNLProc/feel-it-italian-emotion](https://huggingface.co/MilaNLProc/feel-it-italian-emotion) on the None dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.5184
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- - F1: 0.2745
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- - Roc Auc: 0.5955
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- - Accuracy: 0.1031
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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 | 0.5184 | 0.2745 | 0.5955 | 0.1031 |
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- | No log | 2.0 | 48 | 0.4499 | 0.0 | 0.5 | 0.0619 |
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- | No log | 3.0 | 72 | 0.4227 | 0.0 | 0.5 | 0.0619 |
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- | No log | 4.0 | 96 | 0.4096 | 0.0 | 0.5 | 0.0619 |
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- | No log | 5.0 | 120 | 0.4058 | 0.0 | 0.5 | 0.0619 |
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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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