End of training

README.md

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+---
+base_model: dccuchile/albert-base-spanish
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- f1
+- precision
+- recall
+model-index:
+- name: albert-model-mesa-ayuda
+  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. -->
+
+# albert-model-mesa-ayuda
+
+This model is a fine-tuned version of [dccuchile/albert-base-spanish](https://huggingface.co/dccuchile/albert-base-spanish) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3099
+- Accuracy: 0.9162
+- F1: 0.9148
+- Precision: 0.9156
+- Recall: 0.9162
+
+## 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: 28
+- eval_batch_size: 28
+- 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 |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
+| 0.8309        | 1.0   | 3419  | 0.8166          | 0.7809   | 0.7698 | 0.7813    | 0.7809 |
+| 0.4419        | 2.0   | 6838  | 0.4836          | 0.8622   | 0.8571 | 0.8616    | 0.8622 |
+| 0.2584        | 3.0   | 10257 | 0.3691          | 0.8913   | 0.8881 | 0.8913    | 0.8913 |
+| 0.137         | 4.0   | 13676 | 0.3205          | 0.9093   | 0.9076 | 0.9078    | 0.9093 |
+| 0.0609        | 5.0   | 17095 | 0.3099          | 0.9162   | 0.9148 | 0.9156    | 0.9162 |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
+- Tokenizers 0.15.2