End of training

README.md

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+---
+base_model: pysentimiento/roberta-es-sentiment
+tags:
+- generated_from_trainer
+metrics:
+- f1
+- accuracy
+model-index:
+- name: mi_modelo_test_1
+  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. -->
+
+# mi_modelo_test_1
+
+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: 0.5786
+- F1: 0.7985
+- Accuracy: 0.7885
+
+## 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     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:------:|:--------:|
+| 0.9993        | 1.0   | 26   | 0.8600          | 0.5794 | 0.5962   |
+| 0.6311        | 2.0   | 52   | 0.5786          | 0.7985 | 0.7885   |
+| 0.1609        | 3.0   | 78   | 0.9445          | 0.7016 | 0.6827   |
+| 0.0876        | 4.0   | 104  | 0.9907          | 0.7627 | 0.75     |
+| 0.0169        | 5.0   | 130  | 1.1083          | 0.7219 | 0.7115   |
+| 0.0054        | 6.0   | 156  | 1.0876          | 0.7511 | 0.7404   |
+| 0.0039        | 7.0   | 182  | 1.1377          | 0.7508 | 0.7404   |
+| 0.0034        | 8.0   | 208  | 1.1561          | 0.7508 | 0.7404   |
+| 0.0032        | 9.0   | 234  | 1.1621          | 0.7508 | 0.7404   |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.1

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