End of training

README.md

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+---
+base_model: MilaNLProc/feel-it-italian-emotion
+tags:
+- generated_from_trainer
+metrics:
+- f1
+- accuracy
+model-index:
+- name: feel_it_finetuned_pro_multimodal_no_prompt
+  results: []
+---
+
+<!-- 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_no_prompt
+
+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.
+It achieves the following results on the evaluation set:
+- Loss: 0.5184
+- F1: 0.2745
+- Roc Auc: 0.5955
+- Accuracy: 0.1031
+
+## 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   | 0.5184          | 0.2745 | 0.5955  | 0.1031   |
+| No log        | 2.0   | 48   | 0.4499          | 0.0    | 0.5     | 0.0619   |
+| No log        | 3.0   | 72   | 0.4227          | 0.0    | 0.5     | 0.0619   |
+| No log        | 4.0   | 96   | 0.4096          | 0.0    | 0.5     | 0.0619   |
+| No log        | 5.0   | 120  | 0.4058          | 0.0    | 0.5     | 0.0619   |
+
+
+### Framework versions
+
+- Transformers 4.38.2
+- Pytorch 2.0.0+cu118
+- Datasets 2.18.0
+- Tokenizers 0.15.2

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