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-v3_batch16
+  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-v3_batch16
+
+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: 0.1059
+- Accuracy: 0.9709
+- Precision: 0.9698
+- Recall: 0.9709
+- F1: 0.9699
+
+## 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: 16
+- 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     |
+|:-------------:|:------:|:----:|:---------------:|:--------:|:---------:|:------:|:------:|
+| 0.0452        | 0.2646 | 200  | 0.2503          | 0.9596   | 0.9578    | 0.9596 | 0.9558 |
+| 0.1058        | 0.5291 | 400  | 0.1167          | 0.9686   | 0.9673    | 0.9686 | 0.9668 |
+| 0.1106        | 0.7937 | 600  | 0.1059          | 0.9709   | 0.9698    | 0.9709 | 0.9699 |
+| 0.103         | 1.0582 | 800  | 0.1179          | 0.9662   | 0.9657    | 0.9662 | 0.9659 |
+| 0.0629        | 1.3228 | 1000 | 0.1298          | 0.9719   | 0.9709    | 0.9719 | 0.9705 |
+| 0.0633        | 1.5873 | 1200 | 0.1176          | 0.9732   | 0.9728    | 0.9732 | 0.9730 |
+| 0.0436        | 1.8519 | 1400 | 0.1257          | 0.9725   | 0.9721    | 0.9725 | 0.9723 |
+| 0.0487        | 2.1164 | 1600 | 0.1206          | 0.9729   | 0.9724    | 0.9729 | 0.9726 |
+| 0.0309        | 2.3810 | 1800 | 0.1232          | 0.9705   | 0.9705    | 0.9705 | 0.9705 |
+| 0.0235        | 2.6455 | 2000 | 0.1379          | 0.9742   | 0.9738    | 0.9742 | 0.9740 |
+| 0.0272        | 2.9101 | 2200 | 0.1327          | 0.9729   | 0.9724    | 0.9729 | 0.9726 |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.4.0+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
+}

model.safetensors

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runs/Aug27_16-37-21_b9be1a60b839/events.out.tfevents.1724776644.b9be1a60b839.2057.3

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training_args.bin

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