Update README.md

README.md

@@ -1,62 +1,62 @@
----
-library_name: transformers
-base_model: dccuchile/bert-base-spanish-wwm-cased
-tags:
-- generated_from_trainer
-metrics:
-- f1
-model-index:
-- name: baseline
-  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. -->
-
-# baseline
-
-This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-cased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased) on the None dataset.
-It achieves the following results on the evaluation set:
-- Loss: 2.5824
-- F1: 0.4106
-
-## 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: 8
-- eval_batch_size: 8
-- seed: 42
-- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
-- lr_scheduler_type: linear
-- num_epochs: 3.0
-
-### Training results
-
-| Training Loss | Epoch | Step | Validation Loss | F1     |
-|:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.4391        | 1.0   | 721  | 2.0503          | 0.4027 |
-| 0.348         | 2.0   | 1442 | 2.2211          | 0.3899 |
-| 0.1382        | 3.0   | 2163 | 2.5824          | 0.4106 |
-
-
-### Framework versions
-
-- Transformers 4.51.1
-- Pytorch 2.6.0+cu118
-- Datasets 3.3.2
-- Tokenizers 0.21.0
+---
+library_name: transformers
+base_model: dccuchile/bert-base-spanish-wwm-cased
+tags:
+- generated_from_trainer
+metrics:
+- f1
+model-index:
+- name: homolat25-baseline
+  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. -->
+
+# baseline
+
+This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-cased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased) on the HomoLat-25 dataset.
+It achieves the following results on the evaluation set: 
+- Loss: 2.5824
+- F1: 0.4106
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 3.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:------:|
+| 0.4391        | 1.0   | 721  | 2.0503          | 0.4027 |
+| 0.348         | 2.0   | 1442 | 2.2211          | 0.3899 |
+| 0.1382        | 3.0   | 2163 | 2.5824          | 0.4106 |
+
+
+### Framework versions
+
+- Transformers 4.51.1
+- Pytorch 2.6.0+cu118
+- Datasets 3.3.2
+- Tokenizers 0.21.0