End of training

README.md

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 ---
-license: apache-2.0
+license: mit
+base_model: Recognai/bert-base-spanish-wwm-cased-xnli
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: spanish-intent-classifier
+  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. -->
+
+# spanish-intent-classifier
+
+This model is a fine-tuned version of [Recognai/bert-base-spanish-wwm-cased-xnli](https://huggingface.co/Recognai/bert-base-spanish-wwm-cased-xnli) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3130
+- Accuracy: 0.9418
+
+## 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: 3
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.3007        | 1.0   | 17067 | 0.2598          | 0.9332   |
+| 0.221         | 2.0   | 34134 | 0.2848          | 0.9408   |
+| 0.1046        | 3.0   | 51201 | 0.3130          | 0.9418   |
+
+
+### Framework versions
+
+- Transformers 4.35.2
+- Pytorch 2.1.0+cu121
+- Datasets 2.16.1
+- Tokenizers 0.15.1

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