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lmaccarini
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not-ner-v1

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  1. README.md +77 -0
  2. config.json +28 -0
  3. model.safetensors +3 -0
  4. runs/Aug11_17-34-48_a7eb4fa7bed9/events.out.tfevents.1723397692.a7eb4fa7bed9.14195.0 +3 -0
  5. runs/Aug11_17-34-48_a7eb4fa7bed9/events.out.tfevents.1723406769.a7eb4fa7bed9.14195.1 +3 -0
  6. training_args.bin +3 -0
README.md ADDED
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+ ---
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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: not-ner-v1
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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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+ # not-ner-v1
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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: 0.1680
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+ - Accuracy: 0.9337
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+ - Precision: 0.9334
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+ - Recall: 0.9337
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+ - F1: 0.9333
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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: 20
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+ - eval_batch_size: 8
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+ - seed: 42
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: linear
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+ - num_epochs: 1
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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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+ | 0.3465 | 0.0799 | 200 | 0.3024 | 0.8719 | 0.8787 | 0.8719 | 0.8737 |
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+ | 0.2925 | 0.1599 | 400 | 0.2530 | 0.9045 | 0.9039 | 0.9045 | 0.9041 |
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+ | 0.2362 | 0.2398 | 600 | 0.2383 | 0.9089 | 0.9084 | 0.9089 | 0.9085 |
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+ | 0.239 | 0.3197 | 800 | 0.2083 | 0.9169 | 0.9163 | 0.9169 | 0.9163 |
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+ | 0.2149 | 0.3997 | 1000 | 0.2640 | 0.9130 | 0.9150 | 0.9130 | 0.9109 |
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+ | 0.2171 | 0.4796 | 1200 | 0.1932 | 0.9211 | 0.9214 | 0.9211 | 0.9212 |
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+ | 0.2056 | 0.5596 | 1400 | 0.1962 | 0.9237 | 0.9243 | 0.9237 | 0.9224 |
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+ | 0.1973 | 0.6395 | 1600 | 0.1906 | 0.9258 | 0.9255 | 0.9258 | 0.9256 |
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+ | 0.1912 | 0.7194 | 1800 | 0.1870 | 0.9277 | 0.9275 | 0.9277 | 0.9270 |
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+ | 0.183 | 0.7994 | 2000 | 0.1727 | 0.9318 | 0.9317 | 0.9318 | 0.9318 |
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+ | 0.1672 | 0.8793 | 2200 | 0.1809 | 0.9320 | 0.9318 | 0.9320 | 0.9313 |
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+ | 0.1643 | 0.9592 | 2400 | 0.1680 | 0.9337 | 0.9334 | 0.9337 | 0.9333 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.42.4
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+ - Pytorch 2.3.1+cu121
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+ - Datasets 2.20.0
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+ - Tokenizers 0.19.1
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": "4.42.4",
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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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