End of training

README.md

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+---
+license: apache-2.0
+base_model: distilbert/distilbert-base-multilingual-cased
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: distilbert-base-multilingual-cased-finetuned-ner-geocorpus
+  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. -->
+
+# distilbert-base-multilingual-cased-finetuned-ner-geocorpus
+
+This model is a fine-tuned version of [distilbert/distilbert-base-multilingual-cased](https://huggingface.co/distilbert/distilbert-base-multilingual-cased) on the None dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1028
+- Precision: 0.8079
+- Recall: 0.8868
+- F1: 0.8455
+- Accuracy: 0.9747
+
+## 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   | 276  | 0.1866          | 0.7323    | 0.6760 | 0.7030 | 0.9551   |
+| 0.2877        | 2.0   | 552  | 0.1247          | 0.7870    | 0.7788 | 0.7829 | 0.9685   |
+| 0.2877        | 3.0   | 828  | 0.1125          | 0.8547    | 0.7819 | 0.8167 | 0.9719   |
+| 0.0858        | 4.0   | 1104 | 0.1043          | 0.8274    | 0.8463 | 0.8368 | 0.9739   |
+| 0.0858        | 5.0   | 1380 | 0.1062          | 0.8349    | 0.8349 | 0.8349 | 0.9730   |
+| 0.0424        | 6.0   | 1656 | 0.1028          | 0.8079    | 0.8868 | 0.8455 | 0.9747   |
+| 0.0424        | 7.0   | 1932 | 0.1139          | 0.8586    | 0.8702 | 0.8644 | 0.9769   |
+| 0.0225        | 8.0   | 2208 | 0.1229          | 0.8511    | 0.9024 | 0.8760 | 0.9765   |
+
+
+### Framework versions
+
+- Transformers 4.41.1
+- Pytorch 2.1.2
+- Datasets 2.19.1
+- Tokenizers 0.19.1

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runs/Oct04_02-25-30_42fd7d078cd7/events.out.tfevents.1728009406.42fd7d078cd7.34.1

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