Model save

README.md

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+---
+base_model: dccuchile/distilbert-base-spanish-uncased
+tags:
+- generated_from_trainer
+datasets:
+- squad_es
+model-index:
+- name: distilbert-base-spanish-uncased-finetuned-squad-es
+  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. -->
+
+# distilbert-base-spanish-uncased-finetuned-squad-es
+
+This model is a fine-tuned version of [dccuchile/distilbert-base-spanish-uncased](https://huggingface.co/dccuchile/distilbert-base-spanish-uncased) on the squad_es dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.8312
+
+## 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: 3
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss |
+|:-------------:|:-----:|:-----:|:---------------:|
+| 2.005         | 1.0   | 6365  | 1.9063          |
+| 1.6794        | 2.0   | 12730 | 1.8152          |
+| 1.5028        | 3.0   | 19095 | 1.8312          |
+
+
+### Framework versions
+
+- Transformers 4.41.2
+- Pytorch 2.3.0+cu121
+- Datasets 2.20.0
+- Tokenizers 0.19.1

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