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-harem
+  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-harem
+
+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: 0.1542
+- Precision: 0.7194
+- Recall: 0.7552
+- F1: 0.7368
+- Accuracy: 0.9581
+
+## 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   | 282  | 0.2149          | 0.5728    | 0.6286 | 0.5994 | 0.9415   |
+| 0.2791        | 2.0   | 564  | 0.1642          | 0.6870    | 0.7012 | 0.6940 | 0.9539   |
+| 0.2791        | 3.0   | 846  | 0.1542          | 0.7194    | 0.7552 | 0.7368 | 0.9581   |
+| 0.0862        | 4.0   | 1128 | 0.1672          | 0.7454    | 0.7593 | 0.7523 | 0.9600   |
+| 0.0862        | 5.0   | 1410 | 0.1857          | 0.7235    | 0.7656 | 0.7440 | 0.9552   |
+
+
+### Framework versions
+
+- Transformers 4.41.1
+- Pytorch 2.1.2
+- Datasets 2.19.1
+- Tokenizers 0.19.1

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runs/Oct03_03-09-22_14d7ee97e36f/events.out.tfevents.1727925237.14d7ee97e36f.34.1

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