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-v2_batch64
+  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-v2_batch64
+
+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: 0.0034
+- Accuracy: 0.9994
+- Precision: 0.9994
+- Recall: 0.9994
+- F1: 0.9994
+
+## 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: 64
+- 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: 5
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.0229        | 0.5330 | 500  | 0.0098          | 0.9977   | 0.9977    | 0.9977 | 0.9977 |
+| 0.0118        | 1.0661 | 1000 | 0.0068          | 0.9986   | 0.9986    | 0.9986 | 0.9986 |
+| 0.0042        | 1.5991 | 1500 | 0.0067          | 0.9988   | 0.9988    | 0.9988 | 0.9988 |
+| 0.0041        | 2.1322 | 2000 | 0.0052          | 0.9991   | 0.9991    | 0.9991 | 0.9991 |
+| 0.0033        | 2.6652 | 2500 | 0.0055          | 0.9989   | 0.9989    | 0.9989 | 0.9989 |
+| 0.0014        | 3.1983 | 3000 | 0.0052          | 0.9992   | 0.9992    | 0.9992 | 0.9992 |
+| 0.0005        | 3.7313 | 3500 | 0.0036          | 0.9993   | 0.9993    | 0.9993 | 0.9993 |
+| 0.0009        | 4.2644 | 4000 | 0.0040          | 0.9993   | 0.9993    | 0.9993 | 0.9993 |
+| 0.0003        | 4.7974 | 4500 | 0.0034          | 0.9994   | 0.9994    | 0.9994 | 0.9994 |
+
+
+### 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/Feb23_19-22-38_6c12f00bfc0c/events.out.tfevents.1740338563.6c12f00bfc0c.1862.0

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training_args.bin

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