Training complete

README.md

@@ -0,0 +1,70 @@
+---
+license: apache-2.0
+base_model: google-bert/bert-base-multilingual-cased
+tags:
+- generated_from_trainer
+metrics:
+- precision
+- recall
+- f1
+- accuracy
+model-index:
+- name: pii_mbert_az
+  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. -->
+
+# pii_mbert_az
+
+This model is a fine-tuned version of [google-bert/bert-base-multilingual-cased](https://huggingface.co/google-bert/bert-base-multilingual-cased) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.1283
+- Precision: 0.8888
+- Recall: 0.9033
+- F1: 0.8960
+- Accuracy: 0.9656
+
+## 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: 3e-05
+- train_batch_size: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: reduce_lr_on_plateau
+- num_epochs: 5
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
+| No log        | 1.0   | 157  | 0.1525          | 0.8593    | 0.8675 | 0.8634 | 0.9550   |
+| No log        | 2.0   | 314  | 0.1343          | 0.8706    | 0.9106 | 0.8902 | 0.9620   |
+| No log        | 3.0   | 471  | 0.1283          | 0.8888    | 0.9033 | 0.8960 | 0.9656   |
+| 0.1657        | 4.0   | 628  | 0.1483          | 0.8703    | 0.9145 | 0.8918 | 0.9621   |
+| 0.1657        | 5.0   | 785  | 0.1563          | 0.8742    | 0.9141 | 0.8937 | 0.9644   |
+
+
+### Framework versions
+
+- Transformers 4.41.0
+- Pytorch 2.3.0+cu121
+- Datasets 2.19.1
+- Tokenizers 0.19.1

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:4e15b0d0a5822f261f4846eba0a80690073ca1d25e98bd508e62f38b3ae04ac3
+oid sha256:90ba7b452aac2ccf8f7993e7b55129d7eac88227f5c44790134823485fc56fa0
 size 709096284

runs/May23_15-34-05_9d80cb969c0a/events.out.tfevents.1716478820.9d80cb969c0a.20961.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:38c9eb00efabecc0ed30da29c5df4f204daccaf421ed654527b412cd511f7f6b
+size 560