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_batch32
+  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_batch32
+
+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: 0.8143
+- Accuracy: 0.8451
+- Precision: 0.8438
+- Recall: 0.8451
+- F1: 0.8443
+
+## 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: 32
+- 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     |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.5652        | 0.4292 | 400  | 0.5002          | 0.8044   | 0.8041    | 0.8044 | 0.8037 |
+| 0.4494        | 0.8584 | 800  | 0.4102          | 0.8337   | 0.8341    | 0.8337 | 0.8338 |
+| 0.3439        | 1.2876 | 1200 | 0.4437          | 0.8268   | 0.8427    | 0.8268 | 0.8286 |
+| 0.3099        | 1.7167 | 1600 | 0.4289          | 0.8369   | 0.8387    | 0.8369 | 0.8375 |
+| 0.26          | 2.1459 | 2000 | 0.4758          | 0.8405   | 0.8422    | 0.8405 | 0.8413 |
+| 0.1838        | 2.5751 | 2400 | 0.5046          | 0.8384   | 0.8416    | 0.8384 | 0.8388 |
+| 0.1733        | 3.0043 | 2800 | 0.4968          | 0.8378   | 0.8390    | 0.8378 | 0.8371 |
+| 0.0997        | 3.4335 | 3200 | 0.6251          | 0.8412   | 0.8397    | 0.8412 | 0.8403 |
+| 0.102         | 3.8627 | 3600 | 0.6324          | 0.8496   | 0.8504    | 0.8496 | 0.8499 |
+| 0.0719        | 4.2918 | 4000 | 0.7935          | 0.8455   | 0.8463    | 0.8455 | 0.8449 |
+| 0.0576        | 4.7210 | 4400 | 0.8143          | 0.8451   | 0.8438    | 0.8451 | 0.8443 |
+
+
+### 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,
+  "id2label": {
+    "0": "LABEL_0",
+    "1": "LABEL_1",
+    "2": "LABEL_2"
+  },
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "LABEL_0": 0,
+    "LABEL_1": 1,
+    "LABEL_2": 2
+  },
+  "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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runs/Mar12_12-07-04_bf1d37b8376e/events.out.tfevents.1741781230.bf1d37b8376e.1544.5

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training_args.bin

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