update model card README.md

README.md

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+---
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- f1
+- recall
+- accuracy
+model-index:
+- name: fine-tuning-albert-tiny-041123
+  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. -->
+
+# fine-tuning-albert-tiny-041123
+
+This model is a fine-tuned version of [dccuchile/albert-tiny-spanish](https://huggingface.co/dccuchile/albert-tiny-spanish) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.2995
+- Precision: 0.1111
+- F1: 0.1667
+- Recall: 0.3333
+- Accuracy: 0.3333
+
+## 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: 0.01
+- train_batch_size: 32
+- eval_batch_size: 32
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 8
+
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Precision | F1     | Recall | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 1.1786        | 1.0   | 1366  | 1.2995          | 0.1111    | 0.1667 | 0.3333 | 0.3333   |
+| 1.1416        | 2.0   | 2732  | 1.1331          | 0.1111    | 0.1667 | 0.3333 | 0.3333   |
+| 1.1484        | 3.0   | 4098  | 2.0088          | 0.1111    | 0.1667 | 0.3333 | 0.3333   |
+| 1.102         | 4.0   | 5464  | 1.3375          | 0.1111    | 0.1667 | 0.3333 | 0.3333   |
+| 1.083         | 5.0   | 6830  | 1.1703          | 0.1111    | 0.1667 | 0.3333 | 0.3333   |
+| 1.0595        | 6.0   | 8196  | 1.3359          | 0.1111    | 0.1667 | 0.3333 | 0.3333   |
+| 1.0408        | 7.0   | 9562  | 1.1584          | 0.1111    | 0.1667 | 0.3333 | 0.3333   |
+| 1.0184        | 8.0   | 10928 | 1.2006          | 0.1111    | 0.1667 | 0.3333 | 0.3333   |
+
+
+### Framework versions
+
+- Transformers 4.27.4
+- Pytorch 1.13.1+cu116
+- Datasets 2.11.0
+- Tokenizers 0.13.3