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Gestionabilidad-v1_batch64

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  1. README.md +84 -0
  2. config.json +28 -0
  3. model.safetensors +3 -0
  4. runs/Feb13_16-03-28_ef10508d5c2f/events.out.tfevents.1739462642.ef10508d5c2f.2641.0 +3 -0
  5. runs/Feb13_16-03-28_ef10508d5c2f/events.out.tfevents.1739479662.ef10508d5c2f.2641.1 +3 -0
  6. training_args.bin +3 -0
README.md ADDED
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+ ---
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+ library_name: transformers
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+ license: cc-by-4.0
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+ base_model: dccuchile/tulio-chilean-spanish-bert
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+ tags:
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+ - generated_from_trainer
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+ metrics:
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+ - accuracy
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+ - precision
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+ - recall
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+ - f1
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+ model-index:
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+ - name: Gestionabilidad-v1_batch64
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+ results: []
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+ ---
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+
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+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+
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+ # Gestionabilidad-v1_batch64
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+
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+ 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.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0249
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+ - Accuracy: 0.9942
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+ - Precision: 0.9942
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+ - Recall: 0.9942
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+ - F1: 0.9942
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 5e-05
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+ - train_batch_size: 64
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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+ - lr_scheduler_type: linear
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+ - num_epochs: 5
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
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+ |:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
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+ | 0.0625 | 0.2737 | 500 | 0.0508 | 0.9898 | 0.9898 | 0.9898 | 0.9898 |
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+ | 0.0426 | 0.5473 | 1000 | 0.0349 | 0.9910 | 0.9910 | 0.9910 | 0.9910 |
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+ | 0.0338 | 0.8210 | 1500 | 0.0308 | 0.9923 | 0.9923 | 0.9923 | 0.9923 |
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+ | 0.0336 | 1.0947 | 2000 | 0.0319 | 0.9931 | 0.9932 | 0.9931 | 0.9931 |
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+ | 0.0271 | 1.3684 | 2500 | 0.0304 | 0.9933 | 0.9933 | 0.9933 | 0.9933 |
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+ | 0.0255 | 1.6420 | 3000 | 0.0326 | 0.9927 | 0.9928 | 0.9927 | 0.9927 |
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+ | 0.0242 | 1.9157 | 3500 | 0.0277 | 0.9936 | 0.9936 | 0.9936 | 0.9936 |
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+ | 0.0191 | 2.1894 | 4000 | 0.0285 | 0.9942 | 0.9942 | 0.9942 | 0.9942 |
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+ | 0.0189 | 2.4631 | 4500 | 0.0249 | 0.9942 | 0.9942 | 0.9942 | 0.9942 |
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+ | 0.0166 | 2.7367 | 5000 | 0.0262 | 0.9946 | 0.9946 | 0.9946 | 0.9946 |
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+ | 0.0155 | 3.0104 | 5500 | 0.0273 | 0.9943 | 0.9943 | 0.9943 | 0.9943 |
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+ | 0.0097 | 3.2841 | 6000 | 0.0313 | 0.9943 | 0.9943 | 0.9943 | 0.9943 |
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+ | 0.0074 | 3.5577 | 6500 | 0.0353 | 0.9940 | 0.9940 | 0.9940 | 0.9940 |
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+ | 0.0095 | 3.8314 | 7000 | 0.0338 | 0.9942 | 0.9942 | 0.9942 | 0.9942 |
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+ | 0.006 | 4.1051 | 7500 | 0.0379 | 0.9939 | 0.9939 | 0.9939 | 0.9939 |
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+ | 0.004 | 4.3788 | 8000 | 0.0380 | 0.9938 | 0.9938 | 0.9938 | 0.9938 |
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+ | 0.0048 | 4.6524 | 8500 | 0.0373 | 0.9939 | 0.9939 | 0.9939 | 0.9939 |
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+ | 0.0032 | 4.9261 | 9000 | 0.0394 | 0.9939 | 0.9939 | 0.9939 | 0.9939 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.48.2
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+ - Pytorch 2.5.1+cu124
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+ - Datasets 3.2.0
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+ - Tokenizers 0.21.0
config.json ADDED
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+ {
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+ "_name_or_path": "dccuchile/tulio-chilean-spanish-bert",
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+ "architectures": [
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+ "BertForSequenceClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "classifier_dropout": null,
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+ "gradient_checkpointing": false,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 768,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "layer_norm_eps": 1e-12,
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+ "max_position_embeddings": 512,
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+ "model_type": "bert",
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+ "num_attention_heads": 12,
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+ "num_hidden_layers": 12,
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+ "output_past": true,
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+ "pad_token_id": 1,
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+ "position_embedding_type": "absolute",
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+ "problem_type": "single_label_classification",
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.48.2",
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+ "type_vocab_size": 2,
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+ "use_cache": true,
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+ "vocab_size": 31002
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+ }
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