End of training

README.md

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+---
+base_model: Musixmatch/umberto-commoncrawl-cased-v1
+tags:
+- generated_from_trainer
+metrics:
+- f1
+- accuracy
+model-index:
+- name: target_classification_ita
+  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. -->
+
+# target_classification_ita
+
+This model is a fine-tuned version of [Musixmatch/umberto-commoncrawl-cased-v1](https://huggingface.co/Musixmatch/umberto-commoncrawl-cased-v1) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.6432
+- F1: 0.7407
+- Roc Auc: 0.7843
+- Accuracy: 0.6735
+
+## 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 |
+|:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:|:--------:|
+| 0.5508        | 1.0   | 1037  | 0.5281          | 0.6704 | 0.7301  | 0.6151   |
+| 0.4816        | 2.0   | 2074  | 0.4964          | 0.7109 | 0.7631  | 0.6770   |
+| 0.4004        | 3.0   | 3111  | 0.5246          | 0.7299 | 0.7743  | 0.6701   |
+| 0.3353        | 4.0   | 4148  | 0.5791          | 0.7310 | 0.7767  | 0.6718   |
+| 0.2731        | 5.0   | 5185  | 0.6432          | 0.7407 | 0.7843  | 0.6735   |
+| 0.2271        | 6.0   | 6222  | 0.6896          | 0.7248 | 0.7710  | 0.6460   |
+| 0.1842        | 7.0   | 7259  | 0.7441          | 0.7271 | 0.7757  | 0.6667   |
+| 0.15          | 8.0   | 8296  | 0.8640          | 0.7301 | 0.7769  | 0.6632   |
+| 0.1123        | 9.0   | 9333  | 0.9447          | 0.7356 | 0.7812  | 0.6701   |
+| 0.0973        | 10.0  | 10370 | 0.9652          | 0.7310 | 0.7773  | 0.6632   |
+
+
+### 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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