MultilingualPerspectivistNLU/irony_it_Italy

README.md

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+---
+license: mit
+base_model: roberta-base
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: irony_it_Italy
+  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_it_Italy
+
+This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0025
+- Accuracy: 0.6653
+- Precision: 0.4091
+- Recall: 0.7377
+- F1: 0.5263
+
+## 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: 5e-06
+- train_batch_size: 16
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 20
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.0046        | 1.0   | 46   | 0.0043          | 0.4256   | 0.2759    | 0.7869 | 0.4085 |
+| 0.0043        | 2.0   | 92   | 0.0042          | 0.5579   | 0.3083    | 0.6066 | 0.4088 |
+| 0.0042        | 3.0   | 138  | 0.0041          | 0.5785   | 0.3084    | 0.5410 | 0.3929 |
+| 0.0039        | 4.0   | 184  | 0.0039          | 0.5041   | 0.3072    | 0.7705 | 0.4393 |
+| 0.0036        | 5.0   | 230  | 0.0036          | 0.5537   | 0.3309    | 0.7541 | 0.46   |
+| 0.0032        | 6.0   | 276  | 0.0032          | 0.6281   | 0.3802    | 0.7541 | 0.5055 |
+| 0.0025        | 7.0   | 322  | 0.0028          | 0.6777   | 0.4190    | 0.7213 | 0.5301 |
+| 0.0019        | 8.0   | 368  | 0.0023          | 0.6033   | 0.3684    | 0.8033 | 0.5052 |
+| 0.0016        | 9.0   | 414  | 0.0023          | 0.6074   | 0.3712    | 0.8033 | 0.5078 |
+| 0.0014        | 10.0  | 460  | 0.0025          | 0.6653   | 0.4091    | 0.7377 | 0.5263 |
+
+
+### Framework versions
+
+- Transformers 4.34.1
+- Pytorch 2.0.1+cu117
+- Datasets 2.14.5
+- Tokenizers 0.14.1

pytorch_model.bin

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