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_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. -->
+
+# target_classification_ita_correlations
+
+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: 0.2819
+- F1: 0.4706
+- Roc Auc: 0.6871
+- Accuracy: 0.8351
+
+## 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  | 0.2433          | 0.0    | 0.5     | 0.8265   |
+| 0.2713        | 2.0   | 582  | 0.2193          | 0.3151 | 0.5994  | 0.8402   |
+| 0.2713        | 3.0   | 873  | 0.2360          | 0.3922 | 0.6318  | 0.8488   |
+| 0.1809        | 4.0   | 1164 | 0.2863          | 0.2985 | 0.5898  | 0.8488   |
+| 0.1809        | 5.0   | 1455 | 0.3117          | 0.25   | 0.5735  | 0.8351   |
+| 0.1173        | 6.0   | 1746 | 0.2819          | 0.4706 | 0.6871  | 0.8351   |
+| 0.0808        | 7.0   | 2037 | 0.3277          | 0.3226 | 0.6053  | 0.8282   |
+| 0.0808        | 8.0   | 2328 | 0.3416          | 0.3797 | 0.6294  | 0.8402   |
+| 0.0507        | 9.0   | 2619 | 0.3316          | 0.4046 | 0.6478  | 0.8299   |
+| 0.0507        | 10.0  | 2910 | 0.3661          | 0.3659 | 0.6266  | 0.8299   |
+
+
+### 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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