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README.md

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+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+model-index:
+- name: PRUEBA5
+  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. -->
+
+# PRUEBA5
+
+This model is a fine-tuned version of [ROGRANMAR/que_funcione_que_funcione4](https://huggingface.co/ROGRANMAR/que_funcione_que_funcione4) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 7.6442
+
+## 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: 1e-05
+- train_batch_size: 4
+- eval_batch_size: 4
+- seed: 42
+- gradient_accumulation_steps: 2
+- total_train_batch_size: 8
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_steps: 50
+- training_steps: 100
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss |
+|:-------------:|:-----:|:----:|:---------------:|
+| 8.0533        | 5.0   | 50   | 7.9472          |
+| 6.9861        | 10.0  | 100  | 7.6442          |
+
+
+### Framework versions
+
+- Transformers 4.28.1
+- Pytorch 2.0.0+cu118
+- Datasets 2.11.0
+- Tokenizers 0.13.3