End of training

README.md

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+---
+library_name: transformers
+license: cc-by-4.0
+base_model: dccuchile/tulio-chilean-spanish-bert
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: gestionabilidad_v1_batch16
+  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. -->
+
+# gestionabilidad_v1_batch16
+
+This model is a fine-tuned version of [dccuchile/tulio-chilean-spanish-bert](https://huggingface.co/dccuchile/tulio-chilean-spanish-bert) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3453
+- Accuracy: 0.9419
+- Precision: 0.9422
+- Recall: 0.9419
+- F1: 0.9420
+
+## 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: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Use OptimizerNames.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
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.0985        | 0.2670 | 200  | 0.4983          | 0.9118   | 0.9207    | 0.9118 | 0.9135 |
+| 0.1098        | 0.5340 | 400  | 0.3588          | 0.9225   | 0.9261    | 0.9225 | 0.9234 |
+| 0.1049        | 0.8011 | 600  | 0.2562          | 0.9325   | 0.9322    | 0.9325 | 0.9319 |
+| 0.0706        | 1.0681 | 800  | 0.4060          | 0.9309   | 0.9330    | 0.9309 | 0.9314 |
+| 0.0376        | 1.3351 | 1000 | 0.3807          | 0.9339   | 0.9346    | 0.9339 | 0.9341 |
+| 0.0406        | 1.6021 | 1200 | 0.3532          | 0.9365   | 0.9367    | 0.9365 | 0.9366 |
+| 0.0528        | 1.8692 | 1400 | 0.2903          | 0.9452   | 0.9452    | 0.9452 | 0.9452 |
+| 0.0624        | 2.1362 | 1600 | 0.3112          | 0.9439   | 0.9442    | 0.9439 | 0.9440 |
+| 0.0219        | 2.4032 | 1800 | 0.3662          | 0.9419   | 0.9422    | 0.9419 | 0.9420 |
+| 0.021         | 2.6702 | 2000 | 0.3364          | 0.9452   | 0.9452    | 0.9452 | 0.9452 |
+| 0.0297        | 2.9372 | 2200 | 0.3453          | 0.9419   | 0.9422    | 0.9419 | 0.9420 |
+
+
+### Framework versions
+
+- Transformers 4.48.3
+- Pytorch 2.5.1+cu124
+- Datasets 3.3.2
+- Tokenizers 0.21.0

config.json

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+{
+  "_name_or_path": "dccuchile/tulio-chilean-spanish-bert",
+  "architectures": [
+    "BertForSequenceClassification"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 768,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 12,
+  "num_hidden_layers": 12,
+  "output_past": true,
+  "pad_token_id": 1,
+  "position_embedding_type": "absolute",
+  "problem_type": "single_label_classification",
+  "torch_dtype": "float32",
+  "transformers_version": "4.48.3",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 31002
+}

model.safetensors

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+size 439433208

runs/Mar06_16-44-23_e22e87b0c30c/events.out.tfevents.1741279467.e22e87b0c30c.2049.1

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training_args.bin

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