End of training

README.md

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+---
+base_model: lupobricco/irony_classification_ita_base
+tags:
+- generated_from_trainer
+metrics:
+- f1
+- accuracy
+model-index:
+- name: ironita_finetuned_correlations
+  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. -->
+
+# ironita_finetuned_correlations
+
+This model is a fine-tuned version of [lupobricco/irony_classification_ita_base](https://huggingface.co/lupobricco/irony_classification_ita_base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.2372
+- F1: 0.5152
+- Roc Auc: 0.7176
+- Accuracy: 0.8419
+
+## 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: 8
+- eval_batch_size: 8
+- 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   | 291  | 0.2090          | 0.35   | 0.6183  | 0.8282   |
+| 0.2333        | 2.0   | 582  | 0.2372          | 0.5152 | 0.7176  | 0.8419   |
+| 0.2333        | 3.0   | 873  | 0.3356          | 0.3924 | 0.6345  | 0.8436   |
+| 0.1292        | 4.0   | 1164 | 0.3644          | 0.3399 | 0.6114  | 0.8351   |
+| 0.1292        | 5.0   | 1455 | 0.4006          | 0.2973 | 0.5933  | 0.8316   |
+| 0.0666        | 6.0   | 1746 | 0.4199          | 0.3288 | 0.6045  | 0.8402   |
+| 0.0346        | 7.0   | 2037 | 0.4441          | 0.4134 | 0.6552  | 0.8282   |
+| 0.0346        | 8.0   | 2328 | 0.4483          | 0.4382 | 0.6659  | 0.8385   |
+| 0.019         | 9.0   | 2619 | 0.4600          | 0.4070 | 0.6483  | 0.8333   |
+| 0.019         | 10.0  | 2910 | 0.4580          | 0.4432 | 0.6668  | 0.8402   |
+
+
+### Framework versions
+
+- Transformers 4.40.1
+- Pytorch 2.3.0+cu118
+- Datasets 2.19.0
+- Tokenizers 0.19.1

model.safetensors

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