End of training

README.md

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+---
+library_name: transformers
+base_model: dccuchile/bert-base-spanish-wwm-uncased
+tags:
+- generated_from_trainer
+datasets:
+- biobert_json
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: NER-finetuning-BETO-UNCASED-BIOBERT
+  results:
+  - task:
+      name: Token Classification
+      type: token-classification
+    dataset:
+      name: biobert_json
+      type: biobert_json
+      config: Biobert_json
+      split: validation
+      args: Biobert_json
+    metrics:
+    - name: Precision
+      type: precision
+      value: 0.9467966573816156
+    - name: Recall
+      type: recall
+      value: 0.9626168224299065
+    - name: F1
+      type: f1
+      value: 0.9546412020783598
+    - name: Accuracy
+      type: accuracy
+      value: 0.9762832612799123
+---
+
+<!-- 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. -->
+
+# NER-finetuning-BETO-UNCASED-BIOBERT
+
+This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-uncased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-uncased) on the biobert_json dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1165
+- Precision: 0.9468
+- Recall: 0.9626
+- F1: 0.9546
+- Accuracy: 0.9763
+
+## 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: 10
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| 0.3684        | 1.0   | 612  | 0.1093          | 0.9356    | 0.9523 | 0.9438 | 0.9708   |
+| 0.1191        | 2.0   | 1224 | 0.1026          | 0.9388    | 0.9674 | 0.9529 | 0.9746   |
+| 0.0842        | 3.0   | 1836 | 0.1011          | 0.9394    | 0.9690 | 0.9539 | 0.9754   |
+| 0.0657        | 4.0   | 2448 | 0.0986          | 0.9468    | 0.9682 | 0.9574 | 0.9779   |
+| 0.0437        | 5.0   | 3060 | 0.0988          | 0.9499    | 0.9649 | 0.9573 | 0.9772   |
+| 0.0395        | 6.0   | 3672 | 0.1070          | 0.9446    | 0.9645 | 0.9545 | 0.9757   |
+| 0.0311        | 7.0   | 4284 | 0.1110          | 0.9459    | 0.9673 | 0.9565 | 0.9766   |
+| 0.0302        | 8.0   | 4896 | 0.1141          | 0.9449    | 0.9635 | 0.9541 | 0.9763   |
+| 0.023         | 9.0   | 5508 | 0.1133          | 0.9485    | 0.9641 | 0.9563 | 0.9770   |
+| 0.0198        | 10.0  | 6120 | 0.1165          | 0.9468    | 0.9626 | 0.9546 | 0.9763   |
+
+
+### Framework versions
+
+- Transformers 4.45.1
+- Pytorch 2.4.0
+- Datasets 3.0.1
+- Tokenizers 0.20.0

runs/Nov08_22-15-01_7b5fca91546f/events.out.tfevents.1731104105.7b5fca91546f.30.0

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