End of training

README.md

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+---
+base_model: dccuchile/bert-base-spanish-wwm-uncased
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: roberta-academic
+  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. -->
+
+# roberta-academic
+
+This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-uncased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-uncased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1070
+- Accuracy: 0.9692
+- F1: 0.9687
+- Precision: 0.9692
+- Recall: 0.9692
+
+## 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: 5e-05
+- train_batch_size: 34
+- eval_batch_size: 34
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | F1     | Precision | Recall |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 0.3143        | 1.0   | 10831 | 0.2892          | 0.9106   | 0.9070 | 0.9137    | 0.9106 |
+| 0.2042        | 2.0   | 21662 | 0.1880          | 0.9388   | 0.9366 | 0.9415    | 0.9388 |
+| 0.121         | 3.0   | 32493 | 0.1437          | 0.9552   | 0.9545 | 0.9560    | 0.9552 |
+| 0.0843        | 4.0   | 43324 | 0.1152          | 0.9655   | 0.9651 | 0.9658    | 0.9655 |
+| 0.049         | 5.0   | 54155 | 0.1070          | 0.9692   | 0.9687 | 0.9692    | 0.9692 |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2