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not-ner-v3_batch16

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  1. README.md +76 -0
  2. config.json +28 -0
  3. model.safetensors +3 -0
  4. runs/Aug27_16-37-21_b9be1a60b839/events.out.tfevents.1724776644.b9be1a60b839.2057.3 +3 -0
  5. runs/Aug27_16-37-21_b9be1a60b839/events.out.tfevents.1724777636.b9be1a60b839.2057.4 +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-v3_batch16
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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-v3_batch16
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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: 0.1059
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+ - Accuracy: 0.9709
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+ - Precision: 0.9698
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+ - Recall: 0.9709
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+ - F1: 0.9699
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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: 16
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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: 3
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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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+ | 0.0452 | 0.2646 | 200 | 0.2503 | 0.9596 | 0.9578 | 0.9596 | 0.9558 |
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+ | 0.1058 | 0.5291 | 400 | 0.1167 | 0.9686 | 0.9673 | 0.9686 | 0.9668 |
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+ | 0.1106 | 0.7937 | 600 | 0.1059 | 0.9709 | 0.9698 | 0.9709 | 0.9699 |
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+ | 0.103 | 1.0582 | 800 | 0.1179 | 0.9662 | 0.9657 | 0.9662 | 0.9659 |
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+ | 0.0629 | 1.3228 | 1000 | 0.1298 | 0.9719 | 0.9709 | 0.9719 | 0.9705 |
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+ | 0.0633 | 1.5873 | 1200 | 0.1176 | 0.9732 | 0.9728 | 0.9732 | 0.9730 |
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+ | 0.0436 | 1.8519 | 1400 | 0.1257 | 0.9725 | 0.9721 | 0.9725 | 0.9723 |
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+ | 0.0487 | 2.1164 | 1600 | 0.1206 | 0.9729 | 0.9724 | 0.9729 | 0.9726 |
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+ | 0.0309 | 2.3810 | 1800 | 0.1232 | 0.9705 | 0.9705 | 0.9705 | 0.9705 |
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+ | 0.0235 | 2.6455 | 2000 | 0.1379 | 0.9742 | 0.9738 | 0.9742 | 0.9740 |
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+ | 0.0272 | 2.9101 | 2200 | 0.1327 | 0.9729 | 0.9724 | 0.9729 | 0.9726 |
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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 2.4.0+cu121
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+ - Datasets 2.21.0
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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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