End of training

README.md

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+---
+base_model: dccuchile/distilbert-base-spanish-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: ClasificadorMotivoMoraDistilEspanol10-06
+ 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. -->
+
+# ClasificadorMotivoMoraDistilEspanol10-06
+
+This model is a fine-tuned version of [dccuchile/distilbert-base-spanish-uncased](https://huggingface.co/dccuchile/distilbert-base-spanish-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6023
+- Accuracy: 0.472
+
+## 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: 4
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.1746 | 1.0 | 246 | 2.0754 | 0.22 |
+| 1.0851 | 2.0 | 492 | 1.8376 | 0.356 |
+| 0.964 | 3.0 | 738 | 1.6825 | 0.424 |
+| 0.8893 | 4.0 | 984 | 1.6023 | 0.472 |
+
+
+### Framework versions
+
+- Transformers 4.40.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1