End of training

README.md

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+---
+license: cc-by-4.0
+base_model: dccuchile/tulio-chilean-spanish-bert
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+- precision
+- recall
+- f1
+model-index:
+- name: not-ner-v2
+  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. -->
+
+# not-ner-v2
+
+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: 0.0838
+- Accuracy: 0.9727
+- Precision: 0.9723
+- Recall: 0.9727
+- F1: 0.9724
+
+## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy | Precision | Recall | F1     |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.1679        | 0.1595 | 250  | 0.1431          | 0.9555   | 0.9546    | 0.9555 | 0.9549 |
+| 0.1291        | 0.3191 | 500  | 0.1328          | 0.9595   | 0.9583    | 0.9595 | 0.9586 |
+| 0.1055        | 0.4786 | 750  | 0.0925          | 0.9653   | 0.9648    | 0.9653 | 0.9650 |
+| 0.1044        | 0.6382 | 1000 | 0.1415          | 0.9630   | 0.9619    | 0.9630 | 0.9615 |
+| 0.1094        | 0.7977 | 1250 | 0.1030          | 0.9630   | 0.9624    | 0.9630 | 0.9612 |
+| 0.0927        | 0.9572 | 1500 | 0.0878          | 0.9710   | 0.9706    | 0.9710 | 0.9707 |
+| 0.0836        | 1.1168 | 1750 | 0.1265          | 0.9663   | 0.9666    | 0.9663 | 0.9665 |
+| 0.0651        | 1.2763 | 2000 | 0.1025          | 0.9709   | 0.9702    | 0.9709 | 0.9704 |
+| 0.0637        | 1.4359 | 2250 | 0.0998          | 0.9676   | 0.9668    | 0.9676 | 0.9667 |
+| 0.0713        | 1.5954 | 2500 | 0.0838          | 0.9727   | 0.9723    | 0.9727 | 0.9724 |
+| 0.0561        | 1.7549 | 2750 | 0.0905          | 0.9722   | 0.9722    | 0.9722 | 0.9722 |
+| 0.058         | 1.9145 | 3000 | 0.1030          | 0.9707   | 0.9701    | 0.9707 | 0.9702 |
+| 0.0531        | 2.0740 | 3250 | 0.1066          | 0.9714   | 0.9710    | 0.9714 | 0.9711 |
+| 0.0398        | 2.2336 | 3500 | 0.1035          | 0.9722   | 0.9721    | 0.9722 | 0.9721 |
+| 0.0444        | 2.3931 | 3750 | 0.1009          | 0.9728   | 0.9725    | 0.9728 | 0.9726 |
+| 0.037         | 2.5526 | 4000 | 0.1068          | 0.9725   | 0.9721    | 0.9725 | 0.9722 |
+| 0.0261        | 2.7122 | 4250 | 0.1192          | 0.9735   | 0.9731    | 0.9735 | 0.9732 |
+| 0.0266        | 2.8717 | 4500 | 0.1191          | 0.9732   | 0.9727    | 0.9732 | 0.9729 |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.3.1+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

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": "4.42.4",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 31002
+}

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training_args.bin

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