End of training

README.md

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+---
+license: apache-2.0
+base_model: google-bert/bert-base-multilingual-cased
+tags:
+- generated_from_trainer
+metrics:
+- recall
+- f1
+- accuracy
+model-index:
+- name: bert-base-multilingual-cased-finetune-claim
+  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. -->
+
+# bert-base-multilingual-cased-finetune-claim
+
+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: 0.4472
+- Precison: 0.7782
+- Recall: 0.7803
+- F1: 0.7792
+- Accuracy: 0.7891
+- Jaccard: 0.5779
+
+## 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: 8
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 2
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Precison | Recall | F1     | Accuracy | Jaccard |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:--------:|:-------:|
+| 0.411         | 1.0   | 1513 | 0.3212          | 0.8524   | 0.8559 | 0.8540 | 0.8578   | 0.7817  |
+| 0.3154        | 2.0   | 3026 | 0.3158          | 0.8639   | 0.8630 | 0.8634 | 0.8678   | 0.7984  |
+
+
+### Framework versions
+
+- Transformers 4.41.1
+- Pytorch 2.1.2
+- Datasets 2.19.1
+- Tokenizers 0.19.1

runs/Jul18_07-00-45_40cda4b29be5/events.out.tfevents.1721286782.40cda4b29be5.35.6

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