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: multilabel_emotion_classification_finetuned_multimodal
+  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. -->
+
+# multilabel_emotion_classification_finetuned_multimodal
+
+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: 0.3025
+- F1: 0.2543
+- Roc Auc: 0.5733
+- Accuracy: 0.2464
+
+## 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: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     | Roc Auc | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:-------:|:--------:|
+| No log        | 1.0   | 35   | 0.4602          | 0.2394 | 0.5743  | 0.1884   |
+| No log        | 2.0   | 70   | 0.3852          | 0.0    | 0.5     | 0.1087   |
+| No log        | 3.0   | 105  | 0.3511          | 0.0    | 0.5     | 0.1087   |
+| No log        | 4.0   | 140  | 0.3328          | 0.0    | 0.5     | 0.1087   |
+| No log        | 5.0   | 175  | 0.3221          | 0.0    | 0.5     | 0.1087   |
+| No log        | 6.0   | 210  | 0.3154          | 0.0136 | 0.5034  | 0.1159   |
+| No log        | 7.0   | 245  | 0.3103          | 0.0789 | 0.5205  | 0.1449   |
+| No log        | 8.0   | 280  | 0.3064          | 0.1274 | 0.5338  | 0.1739   |
+| No log        | 9.0   | 315  | 0.3036          | 0.2442 | 0.5699  | 0.2391   |
+| No log        | 10.0  | 350  | 0.3025          | 0.2543 | 0.5733  | 0.2464   |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 1.11.0
+- Datasets 2.18.0
+- Tokenizers 0.15.2

model.safetensors

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