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: irony_classification_single_label_base
+  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. -->
+
+# irony_classification_single_label_base
+
+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: 0.9822
+- Accuracy: 0.6227
+- F1: 0.5853
+
+## 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     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 0.9554        | 1.0   | 718  | 0.8483          | 0.6247   | 0.5794 |
+| 0.6941        | 2.0   | 1436 | 0.9822          | 0.6227   | 0.5853 |
+| 0.3184        | 3.0   | 2154 | 1.5308          | 0.6206   | 0.5835 |
+| 0.2401        | 4.0   | 2872 | 2.0444          | 0.6093   | 0.5714 |
+| 0.1284        | 5.0   | 3590 | 2.1603          | 0.6124   | 0.5643 |
+| 0.0646        | 6.0   | 4308 | 2.3836          | 0.6041   | 0.5571 |
+| 0.0362        | 7.0   | 5026 | 2.5046          | 0.6268   | 0.5635 |
+| 0.0232        | 8.0   | 5744 | 2.6831          | 0.6072   | 0.5534 |
+| 0.024         | 9.0   | 6462 | 2.7345          | 0.6165   | 0.5546 |
+| 0.0084        | 10.0  | 7180 | 2.7679          | 0.6144   | 0.5616 |
+
+
+### 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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