End of training

README.md

@@ -0,0 +1,92 @@
+---
+license: apache-2.0
+base_model: distilbert-base-uncased
+tags:
+- generated_from_trainer
+datasets:
+- maccrobat_biomedical_ner
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: distilbert-base-uncased-finetuned-ner
+  results:
+  - task:
+      name: Token Classification
+      type: token-classification
+    dataset:
+      name: maccrobat_biomedical_ner
+      type: maccrobat_biomedical_ner
+      config: default
+      split: train
+      args: default
+    metrics:
+    - name: Precision
+      type: precision
+      value: 0.438385803326849
+    - name: Recall
+      type: recall
+      value: 0.38719800834531365
+    - name: F1
+      type: f1
+      value: 0.4112050346317122
+    - name: Accuracy
+      type: accuracy
+      value: 0.6079383357712697
+---
+
+<!-- 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-uncased-finetuned-ner
+
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the maccrobat_biomedical_ner dataset.
+It achieves the following results on the evaluation set:
+- Loss: 1.6396
+- Precision: 0.4384
+- Recall: 0.3872
+- F1: 0.4112
+- Accuracy: 0.6079
+
+## 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: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 13   | 1.8288          | 0.3215    | 0.2593 | 0.2871 | 0.5356   |
+| No log        | 2.0   | 26   | 1.6907          | 0.3988    | 0.3448 | 0.3698 | 0.5838   |
+| No log        | 3.0   | 39   | 1.6396          | 0.4384    | 0.3872 | 0.4112 | 0.6079   |
+
+
+### Framework versions
+
+- Transformers 4.39.3
+- Pytorch 2.2.1
+- Datasets 2.18.0
+- Tokenizers 0.15.2

config.json

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