End of training

README.md

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+---
+license: apache-2.0
+base_model: distilbert/distilbert-base-multilingual-cased
+tags:
+- generated_from_trainer
+datasets:
+- lener_br
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: distilbert-base-multilingual-cased-finetuned-ner-lenerBr
+  results:
+  - task:
+      name: Token Classification
+      type: token-classification
+    dataset:
+      name: lener_br
+      type: lener_br
+      config: lener_br
+      split: validation
+      args: lener_br
+    metrics:
+    - name: Precision
+      type: precision
+      value: 0.761528608027327
+    - name: Recall
+      type: recall
+      value: 0.7616912235746316
+    - name: F1
+      type: f1
+      value: 0.7616099071207431
+    - name: Accuracy
+      type: accuracy
+      value: 0.9554657562878841
+---
+
+<!-- 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. -->
+
+# distilbert-base-multilingual-cased-finetuned-ner-lenerBr
+
+This model is a fine-tuned version of [distilbert/distilbert-base-multilingual-cased](https://huggingface.co/distilbert/distilbert-base-multilingual-cased) on the lener_br dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1792
+- Precision: 0.7615
+- Recall: 0.7617
+- F1: 0.7616
+- Accuracy: 0.9555
+
+## 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: 2e-05
+- train_batch_size: 16
+- eval_batch_size: 16
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 100
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 490  | 0.2100          | 0.7139    | 0.6624 | 0.6872 | 0.9394   |
+| 0.2608        | 2.0   | 980  | 0.1962          | 0.7059    | 0.7508 | 0.7276 | 0.9443   |
+| 0.0681        | 3.0   | 1470 | 0.1858          | 0.7225    | 0.7649 | 0.7431 | 0.9486   |
+| 0.0382        | 4.0   | 1960 | 0.1792          | 0.7615    | 0.7617 | 0.7616 | 0.9555   |
+| 0.0248        | 5.0   | 2450 | 0.2068          | 0.7715    | 0.8149 | 0.7926 | 0.9560   |
+| 0.0173        | 6.0   | 2940 | 0.2029          | 0.7112    | 0.8031 | 0.7544 | 0.9529   |
+
+
+### Framework versions
+
+- Transformers 4.41.1
+- Pytorch 2.1.2
+- Datasets 2.19.1
+- Tokenizers 0.19.1

model.safetensors

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runs/Sep29_18-46-52_28e786b0082f/events.out.tfevents.1727636327.28e786b0082f.34.1

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