End of training

README.md

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+---
+base_model: Musixmatch/umberto-commoncrawl-cased-v1
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+model-index:
+- name: relation_classification_single_label_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. -->
+
+# relation_classification_single_label_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: 0.8244
+- Accuracy: 0.7209
+- F1: 0.7003
+
+## 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 | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| No log        | 1.0   | 121  | 0.7878          | 0.6279   | 0.6332 |
+| No log        | 2.0   | 242  | 0.8169          | 0.6822   | 0.6664 |
+| No log        | 3.0   | 363  | 0.8244          | 0.7209   | 0.7003 |
+| No log        | 4.0   | 484  | 0.9999          | 0.6977   | 0.6898 |
+| 0.5583        | 5.0   | 605  | 1.2330          | 0.6744   | 0.6372 |
+| 0.5583        | 6.0   | 726  | 1.4526          | 0.6434   | 0.5751 |
+| 0.5583        | 7.0   | 847  | 1.5028          | 0.6434   | 0.5853 |
+| 0.5583        | 8.0   | 968  | 1.6308          | 0.6512   | 0.6008 |
+| 0.1534        | 9.0   | 1089 | 1.7342          | 0.6434   | 0.5817 |
+| 0.1534        | 10.0  | 1210 | 1.7693          | 0.6512   | 0.5468 |
+
+
+### 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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