End of training

README.md

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+---
+base_model: pysentimiento/roberta-es-sentiment
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: modelaso_test
+  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. -->
+
+# modelaso_test
+
+This model is a fine-tuned version of [pysentimiento/roberta-es-sentiment](https://huggingface.co/pysentimiento/roberta-es-sentiment) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.0206
+- F1: 0.8165
+
+## 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: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 9
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.0007        | 1.0   | 21   | 2.5890          | 0.7191 |
+| 0.0357        | 2.0   | 42   | 1.9822          | 0.8070 |
+| 0.0001        | 3.0   | 63   | 2.0206          | 0.8165 |
+| 0.0           | 4.0   | 84   | 2.2104          | 0.7580 |
+| 0.0           | 5.0   | 105  | 2.2600          | 0.7580 |
+| 0.0           | 6.0   | 126  | 2.2585          | 0.7580 |
+| 0.0           | 7.0   | 147  | 2.2720          | 0.7580 |
+| 0.0           | 8.0   | 168  | 2.2812          | 0.7580 |
+| 0.0           | 9.0   | 189  | 2.2841          | 0.7580 |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.1

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