End of training

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: PlanTL-GOB-ES/roberta-base-bne-sqac
+tags:
+- generated_from_trainer
+datasets:
+- sqac
+model-index:
+- name: Mi-roberta-QA
+  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-roberta-QA
+
+This model is a fine-tuned version of [PlanTL-GOB-ES/roberta-base-bne-sqac](https://huggingface.co/PlanTL-GOB-ES/roberta-base-bne-sqac) on the sqac dataset.
+It achieves the following results on the evaluation set:
+- Loss: 2.3139
+
+## 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 |
+|:-------------:|:-----:|:----:|:---------------:|
+| No log        | 1.0   | 63   | 2.3011          |
+| No log        | 2.0   | 126  | 2.3378          |
+| No log        | 3.0   | 189  | 2.3139          |
+
+
+### Framework versions
+
+- Transformers 4.45.1
+- Pytorch 2.4.0
+- Datasets 2.20.0
+- Tokenizers 0.20.0

runs/Sep30_08-36-29_DESKTOP-P79TL96/events.out.tfevents.1727703391.DESKTOP-P79TL96

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